threadripper eo 2022 Tests for a future article. AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Gigabyte AMD Radeon RX 5500 XT 8GB on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: VA2431, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Gigabyte AMD Radeon RX 5500 XT 8GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: VA2431, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 22.04, Kernel: 5.19.0-051900rc7-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Stress-NG 0.14.06 Test: x86_64 RdRand Stress-NG 0.14.06 Test: MMAP Bogo Ops/s > Higher Is Better a . 383.32 |=================================================================== b . 382.19 |=================================================================== Stress-NG 0.14.06 Test: NUMA Bogo Ops/s > Higher Is Better a . 604.44 |=================================================================== b . 591.09 |================================================================== Stress-NG 0.14.06 Test: Futex Bogo Ops/s > Higher Is Better a . 3430545.94 |=============================================================== b . 3166174.89 |========================================================== Stress-NG 0.14.06 Test: MEMFD Bogo Ops/s > Higher Is Better a . 891.86 |=================================================================== b . 887.76 |=================================================================== Stress-NG 0.14.06 Test: Mutex Bogo Ops/s > Higher Is Better a . 12785778.73 |============================================================== b . 12810594.01 |============================================================== Stress-NG 0.14.06 Test: Atomic Bogo Ops/s > Higher Is Better a . 421253.99 |================================================================ b . 421495.46 |================================================================ Stress-NG 0.14.06 Test: Crypto Bogo Ops/s > Higher Is Better a . 44751.55 |================================================================= b . 44653.67 |================================================================= Stress-NG 0.14.06 Test: Malloc Bogo Ops/s > Higher Is Better a . 50825608.57 |============================================================== b . 50473178.15 |============================================================== Stress-NG 0.14.06 Test: Forking Bogo Ops/s > Higher Is Better a . 53674.14 |================================================================= b . 52953.36 |================================================================ Stress-NG 0.14.06 Test: IO_uring Bogo Ops/s > Higher Is Better a . 22416.27 |================================================================= b . 17193.98 |================================================== Stress-NG 0.14.06 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 414239.19 |================================================================ b . 411184.40 |================================================================ Stress-NG 0.14.06 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 174.95 |=============================================================== b . 186.95 |=================================================================== Stress-NG 0.14.06 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 63007.36 |=============================================================== b . 65071.90 |================================================================= Stress-NG 0.14.06 Test: Semaphores Bogo Ops/s > Higher Is Better a . 4869829.14 |=============================================================== b . 4868774.73 |=============================================================== Stress-NG 0.14.06 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 140597.25 |================================================================ b . 138081.21 |=============================================================== Stress-NG 0.14.06 Test: Vector Math Bogo Ops/s > Higher Is Better a . 178859.70 |================================================================ b . 178430.01 |================================================================ Stress-NG 0.14.06 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 4863.37 |================================================================== b . 4839.31 |================================================================== Stress-NG 0.14.06 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 15355.92 |================================================================ b . 15707.68 |================================================================= Stress-NG 0.14.06 Test: Context Switching Bogo Ops/s > Higher Is Better a . 9618965.78 |============================================================== b . 9774697.61 |=============================================================== Stress-NG 0.14.06 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 4187483.04 |=============================================================== b . 4118591.13 |============================================================== Stress-NG 0.14.06 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 385.80 |=================================================================== b . 385.67 |=================================================================== Stress-NG 0.14.06 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 9343696.19 |=============================================================== b . 9276368.69 |=============================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better a . 376.6 |==================================================================== b . 375.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 376.6 |==================================================================== b . 375.9 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better a . 402.5 |==================================================================== b . 403.8 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better a . 413.1 |==================================================================== b . 401.2 |================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better a . 106.8 |==================================================================== b . 107.1 |==================================================================== nekRS 22.0 Input: TurboPipe Periodic FLOP/s > Higher Is Better a . 67648400000 |============================================================== b . 67381400000 |============================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 198.58 |================================================================== b . 200.46 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 69.22 |==================================================================== b . 69.15 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 12.37 |==================================================================== b . 12.30 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 13.73 |=================================================================== b . 13.89 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 47.13 |==================================================================== b . 46.96 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 28.62 |==================================================================== b . 28.68 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 47.17 |==================================================================== b . 47.04 |==================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 28.63 |==================================================================== b . 28.74 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 6.82 |=================================================================== b . 7.02 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 4.30 |==================================================================== b . 4.34 |===================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 4.33 |===================================================================== b . 4.31 |===================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 380.28 |=================================================================== b . 376.70 |================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 8.46 |===================================================================== b . 8.48 |===================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 715.98 |=================================================================== b . 712.18 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 661.93 |=================================================================== b . 653.16 |================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 63.47 |==================================================================== b . 62.04 |================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 843.69 |=================================================================== b . 844.82 |=================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 686.15 |================================================================== b . 692.14 |=================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 21060.95 |================================================================= b . 20837.59 |================================================================ OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 22553.27 |================================================================= b . 22417.03 |================================================================= Natron 2.4.3 Input: Spaceship FPS > Higher Is Better a . 4.2 |====================================================================== b . 4.2 |====================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better a . 257.0 |================================================================== b . 263.3 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better a . 248.6 |=========================================================== b . 286.5 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better a . 260.0 |=================================================================== b . 262.8 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 0.34 |===================================================================== b . 0.34 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 7.91 |===================================================================== b . 7.88 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 25.31 |==================================================================== b . 24.61 |================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 13.54 |==================================================================== b . 13.57 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 31.97 |==================================================================== b . 32.16 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 40.37 |=================================================================== b . 40.93 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 40.29 |=================================================================== b . 40.76 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 0.96 |==================================================================== b . 0.97 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 14.13 |==================================================================== b . 14.23 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 43.08 |==================================================================== b . 43.34 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 34.60 |==================================================================== b . 34.15 |=================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 60.72 |=================================================================== b . 62.08 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 72.59 |=================================================================== b . 73.28 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 72.52 |=================================================================== b . 73.76 |==================================================================== rav1e 0.6.1 Speed: 1 Frames Per Second > Higher Is Better a . 0.780 |==================================================================== b . 0.778 |==================================================================== rav1e 0.6.1 Speed: 5 Frames Per Second > Higher Is Better a . 2.741 |==================================================================== b . 2.748 |==================================================================== rav1e 0.6.1 Speed: 6 Frames Per Second > Higher Is Better a . 3.656 |==================================================================== b . 3.641 |==================================================================== rav1e 0.6.1 Speed: 10 Frames Per Second > Higher Is Better a . 8.018 |==================================================================== b . 7.997 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 3.500 |==================================================================== b . 3.521 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 56.69 |==================================================================== b . 56.49 |==================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 147.34 |=================================================================== b . 129.52 |=========================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 145.75 |================================================================== b . 148.19 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 8.046 |==================================================================== b . 7.877 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 111.93 |================================================================== b . 113.86 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 400.81 |=================================================================== b . 403.43 |=================================================================== SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 359.56 |=================================================================== b . 359.18 |=================================================================== Xmrig 6.18.1 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 15342.8 |================================================================== b . 15334.8 |================================================================== Xmrig 6.18.1 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 21153.3 |================================================================== b . 21018.6 |================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 62.47 |=================================================================== b . 63.15 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 44.45 |==================================================================== b . 44.39 |==================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC Items / Sec > Higher Is Better a . 288 |====================================================================== b . 287 |====================================================================== OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar Items / Sec > Higher Is Better a . 184 |====================================================================== b . 183 |====================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 19.64 |==================================================================== b . 19.58 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 13.39 |==================================================================== b . 13.32 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 69.48 |==================================================================== b . 67.65 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 26.70 |================================================================== b . 27.41 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 107.48 |=================================================================== b . 106.87 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 59.87 |==================================================================== b . 59.54 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 222.16 |=================================================================== b . 221.88 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 112.66 |================================================================== b . 113.55 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 154.89 |=================================================================== b . 154.76 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 83.67 |==================================================================== b . 83.59 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 78.72 |==================================================================== b . 78.44 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 43.16 |==================================================================== b . 41.08 |================================================================= Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 19.56 |==================================================================== b . 19.52 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 13.35 |==================================================================== b . 13.33 |==================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better a . 1178 |==================================================================== b . 1193 |===================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better a . 638 |===================================================================== b . 649 |====================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better a . 376 |====================================================================== b . 376 |====================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better a . 568 |====================================================================== b . 570 |====================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better a . 2129 |===================================================================== b . 2132 |===================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better a . 514 |=================================================================== b . 535 |====================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better a . 1043 |================================================================== b . 1089 |===================================================================== Stream 2013-01-17 Type: Copy MB/s > Higher Is Better a . 54649.6 |================================================================= b . 55314.0 |================================================================== Stream 2013-01-17 Type: Scale MB/s > Higher Is Better a . 33038.0 |================================================================== b . 33173.5 |================================================================== Stream 2013-01-17 Type: Triad MB/s > Higher Is Better a . 36787.1 |================================================================== b . 37021.8 |================================================================== Stream 2013-01-17 Type: Add MB/s > Higher Is Better a . 36849.4 |================================================================== b . 37116.0 |================================================================== SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better a . 23068.13 |================================================================= b . 22791.83 |================================================================ SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better a . 146.70 |=================================================================== b . 146.47 |=================================================================== SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better a . 14254.70 |================================================================= b . 14206.73 |================================================================= SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better a . 6591.27 |================================================================== b . 6553.70 |================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better a . 15823.93 |================================================================= b . 15708.02 |================================================================= SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better a . 15569.87 |================================================================= b . 15465.65 |================================================================= SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better a . 27249.95 |================================================================= b . 26861.97 |================================================================ SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better a . 66642.16 |================================================================= b . 65731.67 |================================================================ SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better a . 37533.1 |================================================================== b . 37302.0 |================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a . 167681 |=================================================================== b . 168680 |=================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a . 177640 |=================================================================== b . 170171 |================================================================ JPEG XL libjxl 0.7 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 8.95 |==================================================================== b . 9.02 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 8.89 |==================================================================== b . 8.99 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 8.59 |==================================================================== b . 8.70 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 8.51 |==================================================================== b . 8.58 |===================================================================== JPEG XL libjxl 0.7 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 0.68 |===================================================================== b . 0.68 |===================================================================== JPEG XL libjxl 0.7 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 0.66 |===================================================================== b . 0.66 |===================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: 1 MP/s > Higher Is Better a . 44.60 |================================================================== b . 45.67 |==================================================================== JPEG XL Decoding libjxl 0.7 CPU Threads: All MP/s > Higher Is Better a . 245.68 |================================================================= b . 251.91 |=================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better a . 17.87 |==================================================================== b . 17.78 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better a . 11.10 |==================================================================== b . 11.04 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better a . 1.50 |==================================================================== b . 1.52 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better a . 3.44 |===================================================================== b . 3.41 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better a . 0.61 |===================================================================== b . 0.61 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 9.60 |================================================================ b . 10.27 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.30 |===================================================================== b . 0.30 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.15 |===================================================================== b . 0.15 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 8.39 |===================================================================== b . 8.43 |===================================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better a . 366.33 |=================================================================== b . 364.32 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better a . 120.33 |=================================================================== b . 120.08 |=================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better a . 14.41 |==================================================================== b . 14.38 |==================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better a . 1.5739 |=================================================================== b . 1.5693 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Op/s > Higher Is Better a . 811216 |=================================================================== b . 800273 |================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better a . 98049490 |=============================================================== b . 100100766 |================================================================ Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better a . 684330 |=================================================================== b . 651892 |================================================================ Facebook RocksDB 7.5.3 Test: Sequential Fill Op/s > Higher Is Better a . 922415 |=================================================================== b . 876834 |================================================================ Facebook RocksDB 7.5.3 Test: Random Fill Sync Op/s > Higher Is Better a . 25136 |==================================================================== b . 25297 |==================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better a . 4506140 |================================================================== b . 4452658 |================================================================= Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better a . 2683538 |================================================================== b . 2589021 |================================================================ CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better a . 477.5 |=================================================================== b . 483.1 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better a . 476.5 |=================================================================== b . 480.7 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 512 ops/s > Higher Is Better a . 476.6 |=================================================================== b . 481.1 |==================================================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 ops/s > Higher Is Better a . 474.9 |=================================================================== b . 480.5 |==================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better a . 50479.2 |================================================================== b . 50108.8 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better a . 61211.1 |================================================================== b . 61278.6 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 ops/s > Higher Is Better a . 61112 |==================================================================== b . 60710 |==================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better a . 70558.3 |================================================================== b . 69948.7 |================================================================= CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better a . 77546.7 |================================================================== b . 76768.6 |================================================================= CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 ops/s > Higher Is Better a . 75643.3 |================================================================== b . 75289.1 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better a . 77055.3 |================================================================== b . 77363.2 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better a . 82286.1 |================================================================== b . 82467.0 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 ops/s > Higher Is Better a . 80024.0 |================================================================== b . 79220.4 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better a . 103073.5 |================================================================= b . 103111.7 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better a . 100761.5 |================================================================= b . 100166.8 |================================================================= CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 ops/s > Higher Is Better a . 98031.9 |================================================================== b . 97822.4 |================================================================== CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 59301.4 |================================================================== b . 59175.4 |================================================================== CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 71952.1 |================================================================== b . 72222.0 |================================================================== CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 76564.0 |================================================================== b . 76335.4 |================================================================== CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 ops/s > Higher Is Better a . 94157.8 |================================================================== b . 93822.1 |================================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 3341824.71 |=============================================================== b . 3320752.26 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 3519377.56 |=============================================================== b . 3515736.22 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better a . 3193072.56 |=============================================================== b . 3164997.08 |============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better a . 3388128.93 |=============================================================== b . 3388656.73 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 3609156.11 |=============================================================== b . 3593257.69 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better a . 3273370.07 |=============================================================== b . 3263145.89 |=============================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better a . 196.74 |================================================================= b . 201.86 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better a . 236.78 |=================================================================== b . 234.64 |================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better a . 240.17 |=================================================================== b . 235.82 |================================================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 Render Ratio > Higher Is Better a . 3.892921 |================================================================= b . 2.678564 |============================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 1.911816 |================================================================ b . 1.947376 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 1.244804 |============================================================== b . 1.314658 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 5.223813 |================================================================ b . 5.307245 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 Render Ratio > Higher Is Better a . 4.122029 |================================================================= b . 2.722708 |=========================================== Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 3.681535 |============================================================== b . 3.845343 |================================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 2.436915 |================================================================= b . 2.268748 |============================================================= Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 Render Ratio > Higher Is Better a . 4.917282 |============================================================== b . 5.196953 |================================================================= Redis 7.0.4 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 2481064.75 |=============================================================== b . 2015000.12 |=================================================== Redis 7.0.4 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better a . 1746939.25 |=============================================================== b . 1590308.75 |========================================================= Redis 7.0.4 Test: GET - Parallel Connections: 500 Requests Per Second > Higher Is Better a . 2271735.25 |=============================================================== b . 2214977.25 |============================================================= Redis 7.0.4 Test: SET - Parallel Connections: 500 Requests Per Second > Higher Is Better a . 1784408.0 |================================================================ b . 1797429.5 |================================================================ nginx 1.23.2 Connections: 1 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 20 Requests Per Second > Higher Is Better nginx 1.23.2 Connections: 100 Requests Per Second > Higher Is Better a . 148017.08 |================================================================ b . 145523.99 |=============================================================== nginx 1.23.2 Connections: 200 Requests Per Second > Higher Is Better a . 148446.23 |================================================================ b . 148101.85 |================================================================ nginx 1.23.2 Connections: 500 Requests Per Second > Higher Is Better a . 133262.41 |============================================================== b . 137072.73 |================================================================ nginx 1.23.2 Connections: 1000 Requests Per Second > Higher Is Better a . 125263.22 |=============================================================== b . 126633.00 |================================================================ nginx 1.23.2 Connections: 4000 Requests Per Second > Higher Is Better srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better a . 140100000 |============================================================== b . 144000000 |================================================================ spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better a . 12454 |==================================================================== b . 12319 |=================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better a . 1465 |===================================================================== b . 1463 |===================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only TPS > Higher Is Better a . 671452 |=================================================================== b . 663640 |================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only TPS > Higher Is Better a . 653213 |=================================================================== b . 602288 |============================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only TPS > Higher Is Better a . 646832 |=================================================================== b . 618774 |================================================================ PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write TPS > Higher Is Better a . 29212 |==================================================================== b . 29318 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write TPS > Higher Is Better a . 40535 |==================================================================== b . 33658 |======================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write TPS > Higher Is Better a . 45407 |==================================================================== b . 25548 |====================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better a . 150.6 |==================================================================== b . 150.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 162.9 |==================================================================== b . 162.2 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better a . 160.2 |==================================================================== b . 160.7 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better a . 175.5 |==================================================================== b . 170.0 |================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better a . 60.2 |===================================================================== b . 60.2 |===================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 405453 |=================================================================== b . 403757 |=================================================================== SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better a . 26.33 |==================================================================== b . 26.39 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better a . 2649.38 |================================================================== b . 2649.30 |================================================================== SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better a . 51.66 |==================================================================== b . 51.63 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better a . 37.18 |==================================================================== b . 37.26 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better a . 63.80 |==================================================================== b . 63.86 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better a . 34.76 |=================================================================== b . 35.02 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better a . 43.28 |==================================================================== b . 43.29 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better a . 34.72 |=================================================================== b . 35.16 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better a . 57.72 |==================================================================== b . 57.93 |==================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1.50644 |================================================================ b . 1.54322 |================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5.89944 |================================================================== b . 5.91961 |================================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.43493 |================================================================ b . 1.47047 |================================================================== oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 0.652318 |======================================================= b . 0.777800 |================================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 9.02473 |=============================================================== b . 9.42618 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 6.06539 |================================================================= b . 6.16553 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2.63187 |================================================================ b . 2.69706 |================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 9.16751 |================================================================== b . 9.15733 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1.68952 |================================================================ b . 1.74252 |================================================================== oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2.06629 |================================================================= b . 2.09863 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 2614.46 |=============================================================== b . 2759.20 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 1295.49 |=========================================================== b . 1451.46 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 2559.09 |============================================================== b . 2719.77 |================================================================== oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 1366.14 |============================================================== b . 1446.12 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 4.48456 |================================================================== b . 4.27034 |=============================================================== oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 2604.63 |============================================================== b . 2772.01 |================================================================== oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better a . 1361.72 |============================================================== b . 1441.78 |================================================================== oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better a . 6.54191 |================================================================== b . 4.74470 |================================================ oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.074 |=================================================================== b . 0.075 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.153 |=============================================================== b . 0.166 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency ms < Lower Is Better a . 0.386 |================================================================= b . 0.404 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency ms < Lower Is Better a . 1.712 |==================================================================== b . 1.705 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency ms < Lower Is Better a . 2.467 |======================================================== b . 2.971 |==================================================================== PostgreSQL 15 Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency ms < Lower Is Better a . 5.506 |====================================== b . 9.786 |==================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better a . 14.31 |================================================================= b . 14.96 |==================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better a . 2.282 |=============================================================== b . 2.455 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better a . 4.311 |==================================================================== b . 4.191 |================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better a . 21.56 |================================================================ b . 22.83 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.491 |=================================================================== b . 6.547 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better a . 4.361 |================================================================ b . 4.607 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 3.054 |==================================================================== b . 3.021 |=================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better a . 23.25 |============================================================== b . 25.51 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better a . 15.69 |================================================================= b . 16.39 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 6.92 |=================================================================== b . 7.13 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 6.44 |=================================================================== b . 6.62 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 7.89 |=================================================================== b . 8.14 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better a . 6.29 |================================================================== b . 6.54 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 9.26 |=================================================================== b . 9.56 |===================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better a . 3.67 |==================================================================== b . 3.75 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better a . 18.44 |================================================================ b . 19.69 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better a . 33.71 |=================================================================== b . 34.14 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better a . 12.14 |================================================================= b . 12.78 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better a . 8.95 |================================================================= b . 9.45 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better a . 21.43 |=============================================================== b . 23.05 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 25.55 |================================================================== b . 26.29 |==================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 21.24 |================================================================ b . 22.44 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 26.61 |==================================================================== b . 26.65 |==================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 133.48 |================================================================= b . 137.59 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better a . 8.91 |===================================================================== b . 8.90 |===================================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 1735.28 |================================================================== b . 1690.53 |================================================================ OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 2734.68 |================================================================== b . 2714.24 |================================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 2750.06 |================================================================== b . 2734.21 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 31.53 |=================================================================== b . 31.82 |==================================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 1410.67 |================================================================== b . 1408.60 |================================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 16.75 |==================================================================== b . 16.84 |==================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 18.11 |=================================================================== b . 18.36 |==================================================================== OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 188.92 |================================================================== b . 193.23 |=================================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 28.43 |==================================================================== b . 28.40 |==================================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 17.47 |==================================================================== b . 17.32 |=================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.13 |==================================================================== b . 1.14 |===================================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 1.06 |===================================================================== b . 1.06 |===================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 608.48 |=================================================================== b . 610.75 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 74.70 |==================================================================== b . 75.08 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 172.65 |================================================================= b . 177.22 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 37.44 |==================================================================== b . 36.48 |================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 111.39 |=================================================================== b . 112.01 |=================================================================== Neural Magic DeepSparse 1.1 Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 16.69 |==================================================================== b . 16.78 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 53.96 |==================================================================== b . 54.02 |==================================================================== Neural Magic DeepSparse 1.1 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 8.8688 |=================================================================== b . 8.7988 |================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 77.45 |==================================================================== b . 77.51 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 11.94 |==================================================================== b . 11.96 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 152.23 |=================================================================== b . 152.94 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 23.16 |================================================================= b . 24.34 |==================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 611.89 |=================================================================== b . 610.93 |=================================================================== Neural Magic DeepSparse 1.1 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 74.92 |==================================================================== b . 75.03 |==================================================================== Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better a . 7.006 |=================================================================== b . 7.096 |==================================================================== OpenFOAM 10 Input: motorBike - Mesh Time Seconds < Lower Is Better a . 40.37 |==================================================================== b . 40.59 |==================================================================== OpenFOAM 10 Input: motorBike - Execution Time Seconds < Lower Is Better a . 71.60 |==================================================================== b . 71.61 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better a . 26.87 |=================================================================== b . 27.28 |==================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better a . 121.46 |================================================================== b . 123.71 |=================================================================== OpenRadioss 2022.10.13 Model: Bumper Beam Seconds < Lower Is Better a . 98.86 |================================================================== b . 100.60 |=================================================================== OpenRadioss 2022.10.13 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 54.86 |==================================================================== b . 55.19 |==================================================================== OpenRadioss 2022.10.13 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 173.48 |=================================================================== b . 174.41 |=================================================================== OpenRadioss 2022.10.13 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 78.18 |=================================================================== b . 79.08 |==================================================================== OpenRadioss 2022.10.13 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 287.95 |================================================================== b . 290.20 |=================================================================== libavif avifenc 0.11 Encoder Speed: 0 Seconds < Lower Is Better a . 91.04 |==================================================================== b . 90.56 |==================================================================== libavif avifenc 0.11 Encoder Speed: 2 Seconds < Lower Is Better a . 47.56 |==================================================================== b . 47.64 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6 Seconds < Lower Is Better a . 4.012 |==================================================================== b . 4.008 |==================================================================== libavif avifenc 0.11 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 7.607 |==================================================================== b . 7.571 |==================================================================== libavif avifenc 0.11 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 5.153 |==================================================================== b . 5.078 |=================================================================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a . 43.94 |==================================================================== b . 44.00 |==================================================================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a . 476.67 |=================================================================== b . 478.89 |=================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better a . 232.35 |=================================================================== b . 233.72 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better a . 43.61 |==================================================================== b . 43.70 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better a . 15.43 |==================================================================== b . 15.41 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better a . 257.57 |=================================================================== b . 257.95 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 22.83 |==================================================================== b . 22.92 |==================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 11.14 |==================================================================== b . 11.22 |==================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better a . 90.93 |==================================================================== b . 90.25 |=================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better a . 46.86 |==================================================================== b . 46.96 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better a . 17.80 |=================================================================== b . 17.96 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Live Seconds < Lower Is Better a . 25.43 |==================================================================== b . 25.19 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Live Seconds < Lower Is Better a . 72.95 |==================================================================== b . 73.03 |==================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Upload Seconds < Lower Is Better a . 204.11 |=================================================================== b . 205.24 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Upload Seconds < Lower Is Better a . 183.91 |=================================================================== b . 181.78 |================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Platform Seconds < Lower Is Better a . 160.71 |=================================================================== b . 161.32 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Platform Seconds < Lower Is Better a . 264.66 |=================================================================== b . 264.16 |=================================================================== FFmpeg 5.1.2 Encoder: libx264 - Scenario: Video On Demand Seconds < Lower Is Better a . 160.60 |=================================================================== b . 161.04 |=================================================================== FFmpeg 5.1.2 Encoder: libx265 - Scenario: Video On Demand Seconds < Lower Is Better a . 264.63 |=================================================================== b . 263.53 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better a . 3.40000000 |============================================================ b . 3.59872799 |=============================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better a . 68.96 |=================================================================== b . 69.93 |==================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better a . 4.20 |===================================================================== b . 4.21 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better a . 4.67 |=================================================================== b . 4.78 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better a . 1.76 |================================================================== b . 1.84 |===================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better a . 1.67 |===================================================================== b . 1.63 |=================================================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better a . 1.28 |================================================================== b . 1.34 |===================================================================== Blender 3.4 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 53.91 |==================================================================== b . 53.95 |==================================================================== Blender 3.4 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 148.83 |=================================================================== b . 149.10 |=================================================================== Blender 3.4 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 69.44 |==================================================================== b . 69.59 |==================================================================== Blender 3.4 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 583.81 |=================================================================== b . 586.00 |=================================================================== Blender 3.4 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 176.40 |=================================================================== b . 177.27 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Seconds < Lower Is Better a . 129.15 |================================================================= b . 133.48 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better a . 13.21 |==================================================================== b . 13.11 |=================================================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better a . 6.199 |=================================================================== b . 6.327 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better a . 77.22 |==================================================================== b . 77.41 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better a . 20.15 |=================================================================== b . 20.56 |==================================================================== Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Seconds < Lower Is Better a . 38.98 |==================================================================== b . 39.16 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 3 kbps Seconds < Lower Is Better a . 38.19 |==================================================================== b . 38.43 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 6 kbps Seconds < Lower Is Better a . 37.60 |=================================================================== b . 37.90 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 24 kbps Seconds < Lower Is Better a . 42.08 |==================================================================== b . 42.31 |==================================================================== EnCodec 0.1.1 Target Bandwidth: 1.5 kbps Seconds < Lower Is Better a . 36.01 |=================================================================== b . 36.37 |==================================================================== Scikit-Learn 1.1.3 Benchmark: MNIST Dataset Seconds < Lower Is Better a . 103.90 |================================================================== b . 104.93 |=================================================================== Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset Seconds < Lower Is Better a . 31.59 |=================================================================== b . 31.93 |==================================================================== Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations Seconds < Lower Is Better a . 162.42 |=================================================================== b . 162.59 |===================================================================