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","7F32" Processor,,AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads),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),ASRockRack EPYCD8 (P2.40 BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse Memory,,28GB,28GB,28GB Disk,,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB,Samsung SSD 970 EVO Plus 250GB Graphics,,ASPEED,ASPEED,ASPEED Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350 OS,,Debian 11,Debian 11,Debian 11 Kernel,,5.10.0-10-amd64 (x86_64),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,GNOME Shell 3.38.6 Display Server,,X Server,X Server,X Server Compiler,,GCC 10.2.1 20210110,GCC 10.2.1 20210110,GCC 10.2.1 20210110 File-System,,ext4,ext4,ext4 Screen Resolution,,1024x768,1024x768,1024x768 ,,"EPYC 7F32","AMD EPYC 7F32","7F32" "Unpacking The Linux Kernel - linux-5.19.tar.xz (sec)",LIB,7.832,7.814,7.896 "C-Blosc - Test: blosclz shuffle (MB/s)",HIB,15057.9,15048.7,14437.4 "C-Blosc - Test: blosclz bitshuffle (MB/s)",HIB,5662.8,5399.4,4579.4 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (GFInst/s)",HIB,270.67,269.522,269.315 "miniBUDE - Implementation: OpenMP - Input Deck: BM1 (Billion Interactions/s)",HIB,10.827,10.781,10.773 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (GFInst/s)",HIB,271.092,270.067,270.907 "miniBUDE - Implementation: OpenMP - Input Deck: BM2 (Billion Interactions/s)",HIB,10.844,10.803,10.836 "SMHasher - Hash: wyhash (MiB/sec)",HIB,21044.04,21040.94,21041.15 "SMHasher - Hash: wyhash (cycles/hash)",LIB,28.387,28.387,28.387 "SMHasher - Hash: SHA3-256 (MiB/sec)",HIB,136.17,136.22,136.24 "SMHasher - Hash: SHA3-256 (cycles/hash)",LIB,2843.5,2848.539,2840.316 "SMHasher - Hash: Spooky32 (MiB/sec)",HIB,13214.7,13216.41,13220.33 "SMHasher - Hash: Spooky32 (cycles/hash)",LIB,56.219,55.921,56.139 "SMHasher - Hash: fasthash32 (MiB/sec)",HIB,6027.75,6027.73,6027.12 "SMHasher - Hash: fasthash32 (cycles/hash)",LIB,40.676,40.684,40.686 "SMHasher - Hash: FarmHash128 (MiB/sec)",HIB,14311.97,14312.8,14307.94 "SMHasher - Hash: FarmHash128 (cycles/hash)",LIB,70.29,70.29,70.387 "SMHasher - Hash: t1ha2_atonce (MiB/sec)",HIB,14595.36,14583.4,14594.36 "SMHasher - Hash: t1ha2_atonce (cycles/hash)",LIB,38.503,38.503,38.503 "SMHasher - Hash: FarmHash32 x86_64 AVX (MiB/sec)",HIB,24494.95,24384.85,24497.14 "SMHasher - Hash: FarmHash32 x86_64 AVX (cycles/hash)",LIB,47.677,47.677,47.677 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (MiB/sec)",HIB,59489.5,59287.09,60752.57 "SMHasher - Hash: t1ha0_aes_avx2 x86_64 (cycles/hash)",LIB,37.774,37.774,37.774 "SMHasher - Hash: MeowHash x86_64 AES-NI (MiB/sec)",HIB,34313.46,34206.07,34310.93 "SMHasher - Hash: MeowHash x86_64 AES-NI (cycles/hash)",LIB,63.122,63.073,63.111 "nekRS - Input: TurboPipe Periodic (FLOP/s)",HIB,,, "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Mesh Time (sec)",LIB,42.034545,41.187216,44.371991 "OpenFOAM - Input: drivaerFastback, Small Mesh Size - Execution Time (sec)",LIB,212.63009,184.11155,269.88197 "OpenRadioss - Model: Bumper Beam (sec)",LIB,173.95,174.04,173.25 "OpenRadioss - Model: Cell Phone Drop Test (sec)",LIB,130.17,122.99,135.8 "OpenRadioss - Model: Bird Strike on Windshield (sec)",LIB,330.91,331.32,334.58 "OpenRadioss - Model: Rubber O-Ring Seal Installation (sec)",LIB,187.5,188.19,186.74 "OpenRadioss - Model: INIVOL and Fluid Structure Interaction Drop Container (sec)",LIB,638.29,627.35,659.67 "Xmrig - Variant: Monero - Hash Count: 1M (H/s)",HIB,7090,7304,7299.2 "Xmrig - Variant: Wownero - Hash Count: 1M (H/s)",HIB,7488.2,7636.1,7618.9 "JPEG XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,8.44,8.71,8.63 "JPEG XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,8.26,8.54,8.52 "JPEG XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,8.15,8.43,8.35 "JPEG XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,8.03,8.25,8.22 "JPEG XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,0.59,0.59,0.58 "JPEG XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,0.58,0.58,0.58 "JPEG XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,43.36,43.72,43.24 "JPEG XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,198.76,246.32,222.05 "WebP Image Encode - Encode Settings: Default (MP/s)",HIB,15.80,15.83,15.81 "WebP Image Encode - Encode Settings: Quality 100 (MP/s)",HIB,9.90,9.93,9.92 "WebP Image Encode - Encode Settings: Quality 100, Lossless (MP/s)",HIB,1.46,1.46,1.45 "WebP Image Encode - Encode Settings: Quality 100, Highest Compression (MP/s)",HIB,3.18,3.18,3.19 "WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (MP/s)",HIB,0.58,0.58,0.58 "WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,6.29,6.22,6.25 "WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.12,0.12,0.12 "WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.05,0.05,0.05 "WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,3.25,3.25,3.25 "WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01,0.01 "srsRAN - Test: OFDM_Test (Samples / Second)",HIB,115600000,116100000,115900000 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (eNb Mb/s)",HIB,328.5,327.5,327.7 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM (UE Mb/s)",HIB,133.3,133.4,132.6 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (eNb Mb/s)",HIB,328.3,329.5,328.8 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM (UE Mb/s)",HIB,144.6,144.4,143.3 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (eNb Mb/s)",HIB,353.7,355.1,354.9 "srsRAN - Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM (UE Mb/s)",HIB,143.3,143.3,142.5 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (eNb Mb/s)",HIB,353.7,354,354 "srsRAN - Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM (UE Mb/s)",HIB,152.3,152.5,151.5 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (eNb Mb/s)",HIB,95.1,95.3,95.4 "srsRAN - Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM (UE Mb/s)",HIB,53.5,53.6,53.6 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,444,443,444 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,739,739,729 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,129,130,130 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,205,206,206 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1028,1046,1049 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,271,271,272 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1184,1195,1226 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,0.19,0.19,0.19 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,5.56,5.67,5.51 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K (FPS)",HIB,20.97,21.44,21.33 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K (FPS)",HIB,9.74,9.89,9.45 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K (FPS)",HIB,30.22,30.97,30.82 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K (FPS)",HIB,41.56,42.81,42.42 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K (FPS)",HIB,42.08,43.34,42.49 "AOM AV1 - Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,0.54,0.54,0.54 "AOM AV1 - Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,12.26,12.51,12.34 "AOM AV1 - Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p (FPS)",HIB,43.34,42.43,42.89 "AOM AV1 - Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p (FPS)",HIB,28.29,28.46,27.87 "AOM AV1 - Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p (FPS)",HIB,75.1,76.92,76.16 "AOM AV1 - Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p (FPS)",HIB,97.35,100.17,99.91 "AOM AV1 - Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p (FPS)",HIB,107.35,102.07,108.32 "7-Zip Compression - Test: Compression Rating (MIPS)",HIB,73076,74973,71377 "7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,58662,58704,58881 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,169.538,169.306,167.977 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,80.966,80.886,80.504 "libavif avifenc - Encoder Speed: 6 (sec)",LIB,7.893,7.856,7.802 "libavif avifenc - Encoder Speed: 6, Lossless (sec)",LIB,12.434,12.293,12.235 "libavif avifenc - Encoder Speed: 10, Lossless (sec)",LIB,6.421,6.206,6.252 "Timed Node.js Compilation - Time To Compile (sec)",LIB,550.805,549.975,554.104 "Timed PHP Compilation - Time To Compile (sec)",LIB,65.041,65.201,65.101 "Timed CPython Compilation - Build Configuration: Default (sec)",LIB,19.15,19.027,19.147 "Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,337.768,338.978,340.302 "Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,45.22,46.211,46.501 "Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,22.892,21.633,21.766 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,3.48079,3.49229,3.48771 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,8.67144,7.35671,11.365 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.93735,,2.70369 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.790351,,0.775961 "oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,9.55502,8.11567,13.4819 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,9.60921,9.7682,10.0398 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.50887,6.54697,6.54145 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,12.2832,,14.6766 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.93432,,3.94084 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.85806,,4.86267 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,5083.34,4813.42,6477.34 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1921.08,1891.98,2084.23 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,5251.89,,6350.11 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1881.32,,2184.27 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,1.28,1.26884,1.26277 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5154.61,,6967.79 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1864.92,,2027.82 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.42225,,1.38568 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,,, "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,120.664,118.859,119.788 "FLAC Audio Encoding - WAV To FLAC (sec)",LIB,21.343,21.276,21.319 "FFmpeg - Encoder: libx264 - Scenario: Live (sec)",LIB,28.53,28.16,28.64 "FFmpeg - Encoder: libx264 - Scenario: Live (FPS)",HIB,177.00,179.34,176.34 "FFmpeg - Encoder: libx265 - Scenario: Live (sec)",LIB,68.46,68.15,68.90 "FFmpeg - Encoder: libx265 - Scenario: Live (FPS)",HIB,73.77,74.10,73.29 "FFmpeg - Encoder: libx264 - Scenario: Upload (sec)",LIB,227.67,228.158210067,228.969381263 "FFmpeg - Encoder: libx264 - Scenario: Upload (FPS)",HIB,11.09,11.07,11.03 "FFmpeg - Encoder: libx265 - Scenario: Upload (sec)",LIB,176.3322066,175.58,176.342980832 "FFmpeg - Encoder: libx265 - Scenario: Upload (FPS)",HIB,14.32,14.38,14.32 "FFmpeg - Encoder: libx264 - Scenario: Platform (sec)",LIB,180.15190048,179.76,180.211979224 "FFmpeg - Encoder: libx264 - Scenario: Platform (FPS)",HIB,42.05,42.14,42.03 "FFmpeg - Encoder: libx265 - Scenario: Platform (sec)",LIB,253.47,252.19,253.811141688 "FFmpeg - Encoder: libx265 - Scenario: Platform (FPS)",HIB,29.88,30.04,29.85 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (sec)",LIB,180.64,180.54,180.616513283 "FFmpeg - Encoder: libx264 - Scenario: Video On Demand (FPS)",HIB,41.93,41.96,41.94 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (sec)",LIB,253.56,252.74,253.642923405 "FFmpeg - Encoder: libx265 - Scenario: Video On Demand (FPS)",HIB,29.88,29.97,29.86 "Cpuminer-Opt - Algorithm: Magi (kH/s)",HIB,413.8,423.63,422.47 "Cpuminer-Opt - Algorithm: x25x (kH/s)",HIB,401.99,387.05,410.38 "Cpuminer-Opt - Algorithm: scrypt (kH/s)",HIB,145.88,146.09,145.69 "Cpuminer-Opt - Algorithm: Deepcoin (kH/s)",HIB,7494.5,7487.49,7488.34 "Cpuminer-Opt - Algorithm: Ringcoin (kH/s)",HIB,1566.83,1612.04,1575.59 "Cpuminer-Opt - Algorithm: Blake-2 S (kH/s)",HIB,349500,348760,324270 "Cpuminer-Opt - Algorithm: Garlicoin (kH/s)",HIB,2139.28,2123.04,2147.8 "Cpuminer-Opt - Algorithm: Skeincoin (kH/s)",HIB,68290,68130,68400 "Cpuminer-Opt - Algorithm: Myriad-Groestl (kH/s)",HIB,12640,12640,12630 "Cpuminer-Opt - Algorithm: LBC, LBRY Credits (kH/s)",HIB,20140,20260,20250 "Cpuminer-Opt - Algorithm: Quad SHA-256, Pyrite (kH/s)",HIB,66230,66230,66260 "Cpuminer-Opt - Algorithm: Triple SHA-256, Onecoin (kH/s)",HIB,132280,132340,132610 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,53.09,,50.79 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,65.36,,59.61 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,74.8,,70.71 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,82.48,,78.62 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,83.98,,80.98 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,32.89,,29.73 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,9.98,,9.12 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,32.58,,30.75 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,10.22,,9.4 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,32.75,,31.39 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,11.08,,10.36 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,34.99,,33.15 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,12.67,,12.57 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,6.4357,6.3025 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,619.198,627.2384 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (items/sec)",HIB,,5.3725,5.1633 "Neural Magic DeepSparse - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,186.1226,193.6627 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,22.5985,22.5733 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,176.8383,176.8463 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,13.1116,12.8996 "Neural Magic DeepSparse - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,76.2557,77.5095 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,36.801,36.2042 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,108.5718,110.4165 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (items/sec)",HIB,,26.9827,26.7067 "Neural Magic DeepSparse - Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,37.0454,37.429 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,70.0202,69.4795 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,57.0733,57.5139 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (items/sec)",HIB,,50.8038,49.6558 "Neural Magic DeepSparse - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,19.6733,20.1274 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,49.9119,49.6207 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,80.0283,80.5192 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (items/sec)",HIB,,36.759,35.5064 "Neural Magic DeepSparse - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,27.1948,28.1543 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,25.2198,25.1166 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,158.3902,159.0606 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,18.221,18.1954 "Neural Magic DeepSparse - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,54.8712,54.949 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (items/sec)",HIB,,6.3581,6.3119 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream (ms/batch)",LIB,,623.1128,626.9997 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (items/sec)",HIB,,5.3593,5.08 "Neural Magic DeepSparse - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream (ms/batch)",LIB,,186.5811,196.8418 "Stress-NG - Test: MMAP (Bogo Ops/s)",HIB,,141.82,144.76 "Stress-NG - Test: NUMA (Bogo Ops/s)",HIB,,236.71,236.87 "Stress-NG - Test: Futex (Bogo Ops/s)",HIB,,2310980.46,2404426.48 "Stress-NG - Test: MEMFD (Bogo Ops/s)",HIB,,371.54,385.73 "Stress-NG - Test: Mutex (Bogo Ops/s)",HIB,,5679683.1,5617446.16 "Stress-NG - Test: Atomic (Bogo Ops/s)",HIB,,392425.59,392155.78 "Stress-NG - Test: Crypto (Bogo Ops/s)",HIB,,13693.66,13609.36 "Stress-NG - Test: Malloc (Bogo Ops/s)",HIB,,8923251.96,8973004.75 "Stress-NG - Test: Forking (Bogo Ops/s)",HIB,,22867.22,23802.41 "Stress-NG - Test: IO_uring (Bogo Ops/s)",HIB,,4364.73,4451.96 "Stress-NG - Test: SENDFILE (Bogo Ops/s)",HIB,,150426.21,149917.15 "Stress-NG - Test: CPU Cache (Bogo Ops/s)",HIB,,85.33,96.63 "Stress-NG - Test: CPU Stress (Bogo Ops/s)",HIB,,18122.93,18710.29 "Stress-NG - Test: Semaphores (Bogo Ops/s)",HIB,,1194194.95,1192572.08 "Stress-NG - Test: Matrix Math (Bogo Ops/s)",HIB,,35043.73,35439.82 "Stress-NG - Test: Vector Math (Bogo Ops/s)",HIB,,39578.06,39495.75 "Stress-NG - Test: Memory Copying (Bogo Ops/s)",HIB,,1918.98,1983.24 "Stress-NG - Test: Socket Activity (Bogo Ops/s)",HIB,,5664.93,5728.29 "Stress-NG - Test: Context Switching (Bogo Ops/s)",HIB,,5247399,5036770.9 "Stress-NG - Test: Glibc C String Functions (Bogo Ops/s)",HIB,,1327261.3,1299519.63 "Stress-NG - Test: Glibc Qsort Data Sorting (Bogo Ops/s)",HIB,,134.03,132.57 "Stress-NG - Test: System V Message Passing (Bogo Ops/s)",HIB,,3150570.51,3167586.04 "spaCy - Model: en_core_web_lg (tokens/sec)",HIB,,11288,11197 "spaCy - Model: en_core_web_trf (tokens/sec)",HIB,,618,632 "Mobile Neural Network - Model: nasnet (ms)",LIB,,23.653,23.653 "Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,,3.37,3.201 "Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,,5.78,6.713 "Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,,29.525,31.285 "Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,,9.2,10.361 "Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,,5.523,6.602 "Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,,4.51,6.361 "Mobile Neural Network - Model: inception-v3 (ms)",LIB,,38.689,38.883 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,,149.11,148.42 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,,2.03,2.04 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,,1957.78,1953.96 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,,1.55,1.6 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,,2554.02,2490.51 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,,1.53,1.62 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,,2583.15,2456.02 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,,162.3,165.72 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,,24.63,24.12 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,,2.71,2.73 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,,1468.22,1461.33 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,,219.4,220.62 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,,18.22,18.12 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,,212.74,215.66 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,,18.79,18.53 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,,24,24.91 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,,166.48,160.49 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,,267.05,268.87 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,,29.95,29.74 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,,224.93,232.94 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,,17.77,17.15 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,,5762.94,5811.67 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,,1.38,1.37 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,,6432.39,6443.59 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,,1.24,1.23 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,,39007583,38208038 "Facebook RocksDB - Test: Update Random (Op/s)",HIB,,352075,352648 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,,1565360,1527948 "Facebook RocksDB - Test: Read Random Write Random (Op/s)",HIB,,1196904,1195887 "nginx - Connections: 1 (Reqs/sec)",HIB,,, "nginx - Connections: 20 (Reqs/sec)",HIB,,46605.09,46953.57 "nginx - Connections: 100 (Reqs/sec)",HIB,,51130.85,50822.3 "nginx - Connections: 200 (Reqs/sec)",HIB,,51950.16,52189.35 "nginx - Connections: 500 (Reqs/sec)",HIB,,52055.66,52630.51 "nginx - Connections: 1000 (Reqs/sec)",HIB,,50516.45,51272.35 "nginx - Connections: 4000 (Reqs/sec)",HIB,,, "Natron - Input: Spaceship (FPS)",HIB,,2.1,2.8 "EnCodec - Target Bandwidth: 3 kbps (sec)",LIB,,36.202,35.801 "EnCodec - Target Bandwidth: 6 kbps (sec)",LIB,,34.991,34.58 "EnCodec - Target Bandwidth: 24 kbps (sec)",LIB,,39.865,39.822 "EnCodec - Target Bandwidth: 1.5 kbps (sec)",LIB,,33.965,33.419 "Scikit-Learn - Benchmark: MNIST Dataset (sec)",LIB,,119.569,119.78 "Scikit-Learn - Benchmark: TSNE MNIST Dataset (sec)",LIB,,38.601,39.073 "Scikit-Learn - Benchmark: Sparse Random Projections, 100 Iterations (sec)",LIB,,185.087,186.351 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,,124747,125073