# E5-Base-v2 > Source: Benchize (https://benchize.com) — https://benchize.com/models/e5-base-v2. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/e5-base-v2. Intfloat Canonical URL: https://benchize.com/models/e5-base-v2 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. Intfloat ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.22source score | 9 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.22319 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 126 scoresByTask {"LegalQuAD":0.22319} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(deu%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/125` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.5source score | 11 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5030050666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5030050666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 86 ### Reported statistics experiments Not reported rank 118 scoresByTask {"ArguAna":0.44568,"CQADupstackRetrieval":0.385436,"ClimateFEVER":0.2656,"DBPedia":0.42225999999999997,"FEVER":0.8498699999999999,"FiQA2018":0.39883,"HotpotQA":0.6915,"MSMARCO":0.41765,"NFCorpus":0.35389,"NQ":0.58221,"QuoraRetrieval":0.86555,"SCIDOCS":0.18681,"SciFact":0.7194400000000001,"TRECCOVID":0.69633,"Touche2020":0.26402} scoresByTaskType {"Retrieval":0.5030050666666667} trainedOnTasks ["MSMARCO","NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/117` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.4source score | 9 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.395335 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.395335 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 104 scoresByTask {"AILACasedocs":0.27165,"AILAStatutes":0.19609,"GerDaLIRSmall":0.0409,"LeCaRDv2":0.2053,"LegalBenchConsumerContractsQA":0.71919,"LegalBenchCorporateLobbying":0.91916,"LegalQuAD":0.22319,"LegalSummarization":0.5872} scoresByTaskType {"Retrieval":0.395335} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/103` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.04source score | 15 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.03936266666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.03936266666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 199 scoresByTask {"Core17InstructionRetrieval":-0.029186,"News21InstructionRetrieval":-0.020822,"Robust04InstructionRetrieval":-0.06808} scoresByTaskType {"InstructionReranking":-0.03936266666666667} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/198` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.68source score | 12 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.6826520956790124 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4806744268627451 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 35 scoresByTask {"ChemHotpotQARetrieval":0.8261966666666667,"ChemNQRetrieval":0.62051,"PubChemAISentenceParaphrasePC":0.953089,"PubChemSMILESBitextMining":0.001386,"PubChemSMILESPC":0.107705,"PubChemSynonymPC":0.629222,"PubChemWikiPairClassification":0.8577719166666666,"PubChemWikiParagraphsPC":0.201773,"SDSEyeProtectionClassification":0.72675,"SDSGlovesClassification":0.63055,"WikipediaBioMetChemClassification":0.991471,"WikipediaBiolumNeurochemClassification":0.956122,"WikipediaChemEngSpecialtiesClassification":0.377419,"WikipediaChemFieldsClassification":0.502271,"WikipediaChemistryTopicsClassification":0.846318,"WikipediaChemistryTopicsClustering":0.652387,"WikipediaCompChemSpectroscopyClassification":0.753846,"WikipediaCryobiologySeparationClassification":0.927468,"WikipediaCrystallographyAnalyticalClassification":0.944674,"WikipediaGreenhouseEnantiopureClassification":0.973246,"WikipediaIsotopesFissionClassification":0.891667,"WikipediaLuminescenceClassification":0.882927,"WikipediaOrganicInorganicClassification":0.884791,"WikipediaSaltsSemiconductorsClassification":0.851515,"WikipediaSolidStateColloidalClassification":0.792568,"WikipediaSpecialtiesInChemistryClustering":0.008186,"WikipediaTheoreticalAppliedClassification":0.639777} scoresByTaskType {"BitextMining":0.001386,"Classification":0.7984341176470588,"Clustering":0.33028650000000004,"PairClassification":0.5499121833333334,"Retrieval":0.7233533333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/34` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.32source score | 12 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3195325 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 143 scoresByTask {"AILACasedocs":0.27165,"AILAStatutes":0.19609,"LegalQuAD":0.22319,"LegalSummarization":0.5872} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Law%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/142` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.36source score | 2 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.36331051148200627 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.268786257994368 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 87 scoresByTask {"BelebeleRetrieval":0.14466923076923077,"BengaliSentimentAnalysis":0.589084,"GujaratiNewsClassification":0.43710166919575116,"HindiDiscourseClassification":0.378809,"IN22ConvBitextMining":0.03480993684210527,"IN22GenBitextMining":0.09532940648495976,"IndicCrosslingualSTS":-0.01332694301463828,"MTOPIntentClassification":0.17406100000000002,"MalayalamNewsClassification":0.393095,"MultiHateClassification":0.5447,"NepaliNewsClassification":0.583251953125,"PunjabiNewsClassification":0.6,"SIB200ClusteringS2S":0.04059028714089392,"SanskritShlokasClassification":0.680208,"SentimentAnalysisHindi":0.3918892540044135,"TweetSentimentClassification":0.35625,"UrduRomanSentimentClassification":0.416567,"WikipediaRerankingMultilingual":0.5439722222222223,"XNLI":0.5464092128701867,"XQuADRetrieval":0.32874} scoresByTaskType {"BitextMining":0.06506967166353252,"Classification":0.46208473969376374,"Clustering":0.04059028714089392,"PairClassification":0.5464092128701867,"Reranking":0.5439722222222223,"Retrieval":0.23670461538461537,"STS":-0.01332694301463828} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/86` | | | | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.54source score | 10 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5398666666666666 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 65 scoresByTask {"FinQARetrieval":0.4526,"FinanceBenchRetrieval":0.6834,"HC3FinanceRetrieval":0.4836} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fin%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/64` | | | | | [RTEB(Code, beta) · RTEB Code](https://benchize.com/benchmarks/mteb%3ARTEB(Code%2C%20beta).md) | 0.47source score | 1 / 1 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.47010857142857143 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 31 scoresByTask {"AppsRetrieval":0.11524,"DS1000Retrieval":0.45512,"FreshStackRetrieval":0.2314,"HumanEvalRetrieval":0.75653,"MBPPRetrieval":0.78127,"SWEbenchCodeRetrieval":0.04264,"WikiSQLRetrieval":0.90856} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Code%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:39.687Z Evidence SHA-256 `29eb05480f0fcc4b3214376e3e4731f0599ebdc4a40bc1c8bb7adb84aef9f211` Source locator `/rows/30` | | | | | [RTEB(eng, beta) · RTEB English](https://benchize.com/benchmarks/mteb%3ARTEB(eng%2C%20beta).md) | 0.47source score | 1 / 1 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4668822424242424 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 57 scoresByTask {"AILACasedocs":0.27165,"AILAStatutes":0.19609,"AppsRetrieval":0.11524,"CUREv1":0.5344036363636364,"ChatDoctorRetrieval":0.50353,"DS1000Retrieval":0.45512,"FinQARetrieval":0.4526,"FinanceBenchRetrieval":0.6834,"FreshStackRetrieval":0.2314,"HC3FinanceRetrieval":0.4836,"HumanEvalRetrieval":0.75653,"LegalSummarization":0.5872,"MBPPRetrieval":0.78127,"SWEbenchCodeRetrieval":0.04264,"WikiSQLRetrieval":0.90856} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(eng%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:39.966Z Evidence SHA-256 `d1b6c13ca22698e3f71ccb180147217a61532c8a914d3b184c701c1e6f5fe1fa` Source locator `/rows/56` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.32source score | 6 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3162036466597676 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.31729900343053963 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 94 scoresByTask {"CEDRClassification":0.3410733262486717,"GeoreviewClassification":0.309033,"GeoreviewClusteringP2P":0.232717,"HeadlineClassification":0.417432,"InappropriatenessClassification":0.532715,"KinopoiskClassification":0.346733,"MIRACLReranking":0.16005,"MIRACLRetrievalHardNegatives.v2":0.07342,"MassiveIntentClassification":0.36346096403293204,"MassiveScenarioClassification":0.423688,"RUParaPhraserSTS":0.549563,"RiaNewsRetrievalHardNegatives.v2":0.186,"RuBQReranking":0.45350643601453516,"RuBQRetrieval":0.16225,"RuReviewsClassification":0.471289,"RuSTSBenchmarkSTS":0.643508,"RuSciBenchGRNTIClassification":0.20874,"RuSciBenchGRNTIClusteringP2P":0.182769,"RuSciBenchOECDClassification":0.164941,"RuSciBenchOECDClusteringP2P":0.161579,"STS22":0.216185,"SensitiveTopicsClassification":0.181396,"TERRa":0.49063514687851495} scoresByTaskType {"Classification":0.3597813293369925,"Clustering":0.19235499999999997,"MultilabelClassification":0.26123466312433585,"PairClassification":0.49063514687851495,"Reranking":0.30677821800726757,"Retrieval":0.14055666666666666,"STS":0.469752} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(rus%2C%20v1.1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/93` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.42source score | 7 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4220531960895041 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4986659747577575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 78 scoresByTask {"ArguAna-NL.v2":0.34181,"BelebeleRetrieval":0.73676,"CovidDisinformationNLMultiLabelClassification":0.475764,"DutchBookReviewSentimentClassification.v2":0.539046,"DutchColaClassification":0.545688,"DutchGovernmentBiasClassification":0.593033,"DutchNewsArticlesClassification":0.500228,"DutchNewsArticlesClusteringP2P":0.331566,"DutchNewsArticlesClusteringS2S":0.183459,"DutchNewsArticlesRetrieval":0.43235,"DutchSarcasticHeadlinesClassification":0.575751,"IconclassClassification":0.4801,"IconclassClusteringS2S":0.214499,"LegalQANLRetrieval":0.29061,"MassiveIntentClassification":0.4210062714372239,"MassiveScenarioClassification":0.507027,"MultiEURLEXMultilabelClassification":0.025580000000000002,"MultiHateClassification":0.5546,"NFCorpus-NL.v2":0.23148,"OpenTenderClassification":0.282561,"OpenTenderClusteringP2P":0.193205,"OpenTenderClusteringS2S":0.164402,"OpenTenderRetrieval":0.34125,"SCIDOCS-NL.v2":0.10638,"SIB200Classification":0.550691,"SIB200ClusteringS2S":0.2206310245238901,"SICK-NL-STS":0.586169,"SICKNLPairClassification":0.601744,"STSBenchmarkMultilingualSTS":0.7065025,"SciFact-NL.v2":0.51941,"VABBClusteringP2P":0.333224,"VABBClusteringS2S":0.250662,"VABBMultiLabelClassification":0.442552,"VABBRetrieval":0.56956,"VaccinChatNLClassification":0.349305,"WebFAQRetrieval":0.47985,"WikipediaRerankingMultilingual":0.8016690476190476,"WikipediaRetrievalMultilingual":0.76048,"XLWICNLPairClassification":0.587573,"bBSARDNLRetrieval":0.05395} scoresByTaskType {"Classification":0.49158635595310196,"Clustering":0.23645600306548625,"MultilabelClassification":0.314632,"PairClassification":0.5946585,"Reranking":0.8016690476190476,"Retrieval":0.40532416666666665,"STS":0.64633575} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/77` | | | | | [MTEB(Medical, v1) · Medical](https://benchize.com/benchmarks/mteb%3AMTEB(Medical%2C%20v1).md) | 0.4source score | 6 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4009421560937832 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3370857601393061 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 77 scoresByTask {"CMedQAv2-reranking":0.234887,"CUREv1":0.3258451515151515,"CmedqaRetrieval":0.03486,"MedicalQARetrieval":0.68621,"MedrxivClusteringP2P.v2":0.3553594605417122,"MedrxivClusteringS2S.v2":0.33347301106853483,"NFCorpus":0.35389,"PublicHealthQA":0.44815125,"SciFact":0.7194400000000001,"SciFact-PL":0.4216,"TRECCOVID":0.69633,"TRECCOVID-PL":0.20126} scoresByTaskType {"Clustering":0.3444162358051235,"Reranking":0.234887,"Retrieval":0.43195404461279463} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Medical%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:35.852Z Evidence SHA-256 `6d1534f25189a9c84e353ced1f8d3958b2563d7c00e9719485eea3dbb0d1f13d` Source locator `/rows/76` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.41source score | 5 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.41051666666666664 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.41051666666666664 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 73 scoresByTask {"LEMBNarrativeQARetrieval":0.25317,"LEMBNeedleRetrieval":0.28500000000000003,"LEMBPasskeyRetrieval":0.38,"LEMBQMSumRetrieval":0.23859,"LEMBSummScreenFDRetrieval":0.74661,"LEMBWikimQARetrieval":0.55973} scoresByTaskType {"Retrieval":0.41051666666666664} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/72` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.25source score | 11 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.25357545454545455 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 117 scoresByTask {"CUREv1":0.25357545454545455} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fra%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/116` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.42source score | 5 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4243806025801734 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4067674933565626 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 68 scoresByTask {"AmazonCounterfactualClassification":0.5712274034794276,"AmazonReviewsClassification":0.30455,"BlurbsClusteringP2P":0.290935,"BlurbsClusteringS2S":0.124096,"FalseFriendsGermanEnglish":0.473636,"GerDaLIR":0.01662,"GermanDPR":0.63724,"GermanQuAD-Retrieval":0.792491,"GermanSTSBenchmark":0.720826882387422,"MIRACLReranking":0.25629,"MTOPDomainClassification":0.7747085,"MTOPIntentClassification":0.4685565,"MassiveIntentClassification":0.46185388963739193,"MassiveScenarioClassification":0.5705910000000001,"PawsXPairClassification":0.49472127351905526,"STS22":0.29163,"TenKGnadClusteringP2P":0.422042,"TenKGnadClusteringS2S":0.248566,"XMarket":0.14265} scoresByTaskType {"Classification":0.5252478821861366,"Clustering":0.27140975,"PairClassification":0.48417863675952766,"Reranking":0.25629,"Retrieval":0.39725024999999997,"STS":0.506228441193711} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/67` | | | | | [MTEB(Europe, v1) · European](https://benchize.com/benchmarks/mteb%3AMTEB(Europe%2C%20v1).md) | 0.49source score | 2 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4941257652253799 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4334296426690842 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 90 scoresByTask {"AlloProfClusteringS2S.v2":0.3613314123735414,"AlloprofReranking":0.654093169654747,"AlloprofRetrieval":0.31859,"AmazonCounterfactualClassification":0.6924629105050514,"ArguAna":0.44568,"BUCC.v2":0.517459270920285,"BelebeleRetrieval":0.533413698630137,"BibleNLPBitextMining":0.1793212468401417,"BigPatentClustering.v2":0.2692021458961568,"BiorxivClusteringP2P.v2":0.3911946928392568,"BornholmBitextMining":0.384923088023088,"BulgarianStoreReviewSentimentClassfication":0.43681318681318676,"CBD":0.5274,"CSFDSKMovieReviewSentimentClassification":0.227685546875,"CTKFactsNLI":0.7249564699964335,"Core17InstructionRetrieval":-0.029186,"CzechProductReviewSentimentClassification":0.4556640625,"DBpediaClassification":0.893115234375,"DalajClassification":0.49954954954954955,"DiaBlaBitextMining":0.27328831839681844,"EstonianValenceClassification":0.2965770171149144,"FinParaSTS":0.15392875797454897,"FinancialPhrasebankClassification":0.8292402826855124,"FloresBitextMining":0.4169216425841927,"GreekLegalCodeClassification":0.0669921875,"HALClusteringS2S.v2":0.24289227449286271,"HagridRetrieval":0.98698,"ItaCaseholdClassification":0.6927601809954751,"LEMBPasskeyRetrieval":0.38,"LegalBenchCorporateLobbying":0.91916,"LegalQuAD":0.22319,"MalteseNewsClassification":0.19647366129734437,"MassiveScenarioClassification":0.5181645,"MultiEURLEXMultilabelClassification":0.030129565217391307,"MultiHateClassification":0.5680499999999999,"NTREXBitextMining":0.5145411910511232,"News21InstructionRetrieval":-0.020822,"NorwegianCourtsBitextMining":0.9261695906432749,"OpusparcusPC":0.8996534132132634,"PSC":0.969463,"PoemSentimentClassification":0.522051282051282,"PolEmo2.0-OUT":0.21052631578947367,"RTE3":0.8595278328131464,"Robust04InstructionRetrieval":-0.06808,"RomaniBibleClustering":0.3851058761045007,"SCIDOCS":0.18681,"SIB200ClusteringS2S":0.17748838208847625,"SICK-R":0.7839807283202838,"SICK-R-PL":0.579976,"STS12":0.7348862196374729,"STS14":0.8044585834356298,"STS15":0.8818055224097616,"STS17":0.5382305640607095,"STSBenchmark":0.854798891881189,"STSES":0.7676002181951239,"ScalaClassification":0.50152587890625,"SpartQA":0.07841,"SprintDuplicateQuestions":0.9425578233832086,"StackOverflowQA":0.87849,"StatcanDialogueDatasetRetrieval":0.1596025,"SwissJudgementClassification":0.5468375570864121,"TempReasonL1":0.01735,"ToxicChatClassification":0.785739,"ToxicConversationsClassification":0.658740234375,"TweetSentimentClassification":0.461328,"TwitterHjerneRetrieval":0.39628,"WebLINXCandidatesReranking":0.0643551971221117,"WikiCitiesClustering":0.8629738933210734,"WikiClusteringP2P.v2":0.23007768980467072,"WikipediaRerankingMultilingual":0.8191975468975469,"WikipediaRetrievalMultilingual":0.74391,"WinoGrande":0.46989,"XNLI":0.6673258548111107} scoresByTaskType {"BitextMining":0.458946335494132,"Classification":0.5195611463561054,"Clustering":0.36503329586506733,"InstructionReranking":-0.039362666666666664,"MultilabelClassification":0.11330161325736783,"PairClassification":0.8439140657028604,"Reranking":0.5125486378914685,"Retrieval":0.4491837465753425,"STS":0.67774060954608} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Europe%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:33.579Z Evidence SHA-256 `7984c254f09d846a5f5a5da2de12c531bacebd43e5fa1a03abc745b501549414` Source locator `/rows/89` | | | | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.41source score | 10 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.41468757575757575 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 69 scoresByTask {"CUREv1":0.3258451515151515,"ChatDoctorRetrieval":0.50353} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Health%2C%20beta)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/68` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.51source score | 4 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5111493542828796 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5257419838872678 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 66 scoresByTask {"AlloProfClusteringP2P":0.585471,"AlloProfClusteringS2S":0.363475,"AlloprofReranking":0.654093169654747,"AlloprofRetrieval":0.31859,"AmazonReviewsClassification":0.32354000000000005,"BSARDRetrieval":0.43243,"HALClusteringS2S":0.223287,"MLSUMClusteringP2P":0.416798,"MLSUMClusteringS2S":0.41427749999999997,"MTOPDomainClassification":0.8056175,"MTOPIntentClassification":0.415021,"MasakhaNEWSClassification":0.7535545023696683,"MasakhaNEWSClusteringP2P":0.505629,"MasakhaNEWSClusteringS2S":0.4725881903652381,"MassiveIntentClassification":0.46169702100943044,"MassiveScenarioClassification":0.5680605000000001,"MintakaRetrieval":0.2351,"PawsXPairClassification":0.5425836403395701,"SICKFr":0.6837895,"STS22":0.76927,"STSBenchmarkMultilingualSTS":0.742783,"SummEvalFr":0.31866,"SyntecReranking":0.759115,"SyntecRetrieval":0.67336,"XPQARetrieval":0.3399433333333333} scoresByTaskType {"Classification":0.5545817538965164,"Clustering":0.4259322414807483,"PairClassification":0.5425836403395701,"Reranking":0.7066040848273735,"Retrieval":0.3998846666666666,"STS":0.7319475,"Summarization":0.31866} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label intfloat/e5-base-v2 Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/65` | | | | --- Cite as: E5-Base-v2 — Benchize, https://benchize.com/models/e5-base-v2 (retrieved 2026-10-21)