AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2211207-NE-EPTC7F32776
eptc-7f32
AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite.
,,"EPYC 7F32","AMD EPYC 7F32"
Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)
Motherboard,,ASRockRack EPYCD8 (P2.40 BIOS),ASRockRack EPYCD8 (P2.40 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,28GB,28GB
Disk,,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB
Graphics,,ASPEED,ASPEED
Network,,2 x Intel I350,2 x Intel I350
OS,,Debian 11,Debian 11
Kernel,,5.10.0-10-amd64 (x86_64),5.10.0-10-amd64 (x86_64)
Desktop,,GNOME Shell 3.38.6,GNOME Shell 3.38.6
Display Server,,X Server,X Server
Compiler,,GCC 10.2.1 20210110,GCC 10.2.1 20210110
File-System,,ext4,ext4
Screen Resolution,,1024x768,1024x768
,,"EPYC 7F32","AMD EPYC 7F32"
"JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,198.76,246.32
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,8.67144,7.35671
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.55502,8.11567
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,212.63009,184.11155
"OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,130.17,122.99
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,22.892,21.633
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,5083.34,4813.42
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,107.35,102.07
"C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,5662.8,5399.4
"Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,401.99,387.05
"libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.421,6.206
"JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.15,8.43
"JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.26,8.54
"JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.44,8.71
"Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,7090,7304
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,41.56,42.81
"AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,42.08,43.34
"AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,97.35,100.17
"Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1566.83,1612.04
"JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,8.03,8.25
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,73076,74973
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,30.22,30.97
"AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,75.1,76.92
"Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,413.8,423.63
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,20.97,21.44
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,45.22,46.211
"AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,43.34,42.43
"OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,42.034545,41.187216
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,12.26,12.51
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.56,5.67
"Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,7488.2,7636.1
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1028,1046
"OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,638.29,627.35
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.60921,9.7682
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,9.74,9.89
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1921.08,1891.98
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,120.664,118.859
"FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,177.00,179.34
"FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,28.53,28.16
"libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,12.434,12.293
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,6.29,6.22
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1184,1195
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.28,1.26884
"JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,43.36,43.72
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,129,130
"Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,2139.28,2123.04
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,19.15,19.027
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,28.29,28.46
"Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,20140,20260
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.50887,6.54697
"FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,29.88,30.04
"FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,253.47,252.19
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,205,206
"libavif avifenc - Encoder Speed: 6 (sec)",LIB,7.893,7.856
"FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,68.46,68.15
"SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,24494.95,24384.85
"FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,73.77,74.10
"srsRAN - Test: OFDM_Test (Samples / Second)",HIB,115600000,116100000
"FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,176.3322066,175.58
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,10.827,10.781
"miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,270.67,269.522
"FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,14.32,14.38
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,353.7,355.1
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,271.092,270.067
"miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,10.844,10.803
"OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,187.5,188.19
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,328.3,329.5
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,337.768,338.978
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,59489.5,59287.09
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.48079,3.49229
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,253.56,252.74
"FLAC Audio Encoding - WAV To FLAC (sec)",LIB,21.343,21.276
"SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,34313.46,34206.07
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,328.5,327.5
"WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,9.90,9.93
"FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,29.88,29.97
"Timed PHP Compilation - Time To Compile (sec)",LIB,65.041,65.201
"Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,68290,68130
"Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.832,7.814
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,444,443
"FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,180.15190048,179.76
"FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,227.67,228.158210067
"FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,42.05,42.14
"Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,349500,348760
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,95.1,95.3
"WebP Image Encode - Encode Settings: Default (MP/s)",HIB,15.80,15.83
"srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,53.5,53.6
"FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,11.09,11.07
"Timed Node.js Compilation - Time To Compile (sec)",LIB,550.805,549.975
"Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,145.88,146.09
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,144.6,144.4
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,169.538,169.306
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,152.3,152.5
"OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,330.91,331.32
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,80.966,80.886
"Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,7494.5,7487.49
"srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,353.7,354
"SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,14595.36,14583.4
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,133.3,133.4
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,58662,58704
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,41.93,41.96
"C-Blosc - Test: blosclz shuffle (MB/s)",HIB,15057.9,15048.7
"FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,180.64,180.54
"OpenRadioss - Model: Bumper Beam (sec)",LIB,173.95,174.04
"Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,132280,132340
"SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,136.17,136.22
"SMHasher - Hash: wyhash (MiB/sec)",HIB,21044.04,21040.94
"SMHasher - Hash: Spooky32 (MiB/sec)",HIB,13214.7,13216.41
"SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,14311.97,14312.8
"SMHasher - Hash: fasthash32 (MiB/sec)",HIB,6027.75,6027.73
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,,124747
"Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,,185.087
"Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,,38.601
"Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,,119.569
"EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,,33.965
"EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,,39.865
"EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,,34.991
"EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,,36.202
"Natron - Input: Spaceship (FPS)",HIB,,2.1
"nginx - Connections: 1000 (Reqs/sec)",HIB,,50516.45
"nginx - Connections: 500 (Reqs/sec)",HIB,,52055.66
"nginx - Connections: 200 (Reqs/sec)",HIB,,51950.16
"nginx - Connections: 100 (Reqs/sec)",HIB,,51130.85
"nginx - Connections: 20 (Reqs/sec)",HIB,,46605.09
"Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,,1196904
"Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,,1565360
"Facebook RocksDB - Test: Update Random (Op/s)",HIB,,352075
"Facebook RocksDB - Test: Random Read (Op/s)",HIB,,39007583
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,,1.24
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,,6432.39
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,1.38
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,,5762.94
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,,17.77
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,,224.93
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,29.95
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,,267.05
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,,166.48
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,,24
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,,18.79
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,,212.74
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,18.22
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,,219.4
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,1468.22
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,,2.71
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,,24.63
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,,162.3
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,,2583.15
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,,1.53
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,,2554.02
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,,1.55
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,,1957.78
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,2.03
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,,149.11
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,,38.689
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,4.51
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,,5.523
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,,9.2
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,,29.525
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,,5.78
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,,3.37
"Mobile Neural Network - Model: nasnet (ms)",LIB,,23.653
"spaCy - Model: en_core_web_trf (tokens/sec)",HIB,,618
"spaCy - Model: en_core_web_lg (tokens/sec)",HIB,,11288
"Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,,3150570.51
"Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,,134.03
"Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,,1327261.3
"Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,,5247399
"Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,,5664.93
"Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,,1918.98
"Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,,39578.06
"Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,,35043.73
"Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,,1194194.95
"Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,,18122.93
"Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,,85.33
"Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,,150426.21
"Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,,4364.73
"Stress-NG - Test: Forking (Bogo Ops/s)",HIB,,22867.22
"Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,,8923251.96
"Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,,13693.66
"Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,,392425.59
"Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,,5679683.1
"Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,,371.54
"Stress-NG - Test: Futex (Bogo Ops/s)",HIB,,2310980.46
"Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,,236.71
"Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,,141.82
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,186.5811
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,5.3593
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,623.1128
"Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,6.3581
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,54.8712
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,18.221
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,158.3902
"Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,25.2198
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,27.1948
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,,36.759
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,80.0283
"Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,49.9119
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,19.6733
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,,50.8038
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,57.0733
"Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,70.0202
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,37.0454
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,,26.9827
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,108.5718
"Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,36.801
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,76.2557
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,13.1116
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,176.8383
"Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,22.5985
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,186.1226
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,,5.3725
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,619.198
"Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,6.4357
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,12.67,
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,34.99,
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,11.08,
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,32.75,
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,10.22,
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,32.58,
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,9.98,
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,32.89,
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,83.98,
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,82.48,
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,74.8,
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,65.36,
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,53.09,
"Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,66230,66230
"Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,12640,12640
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.42225,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1864.92,
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5154.61,
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1881.32,
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5251.89,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.85806,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.93432,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.2832,
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.790351,
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.93735,
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.54,0.54
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.19,0.19
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,271,271
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,739,739
"srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,143.3,143.3
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,3.25,3.25
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.05,0.05
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.12,0.12
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.58,0.58
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.18,3.18
"WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.46,1.46
"JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.58,0.58
"JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.59,0.59
"nginx - Connections: 4000 (Reqs/sec)",HIB,,
"nginx - Connections: 1 (Reqs/sec)",HIB,,
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,
"nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,,
"SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,63.122,63.073
"SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,37.774,37.774
"SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,47.677,47.677
"SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,38.503,38.503
"SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,70.29,70.29
"SMHasher - Hash: fasthash32 (cycles/hash)",LIB,40.676,40.684
"SMHasher - Hash: Spooky32 (cycles/hash)",LIB,56.219,55.921
"SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2843.5,2848.539
"SMHasher - Hash: wyhash (cycles/hash)",LIB,28.387,28.387