fdsdf AMD Ryzen 7 4800U testing with a ASRock 4X4-4000 (P1.30Q BIOS) and AMD Renoir 512MB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: AMD Ryzen 7 4800U @ 1.80GHz (8 Cores / 16 Threads), Motherboard: ASRock 4X4-4000 (P1.30Q BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB TS512GMTS952T-I, Graphics: AMD Renoir 512MB (1750/400MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Realtek RTL8111/8168/8411 + Intel 8265 / 8275 OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, 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: 3840x2160 B: Processor: AMD Ryzen 7 4800U @ 1.80GHz (8 Cores / 16 Threads), Motherboard: ASRock 4X4-4000 (P1.30Q BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB TS512GMTS952T-I, Graphics: AMD Renoir 512MB (1750/400MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Realtek RTL8111/8168/8411 + Intel 8265 / 8275 OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, 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: 3840x2160 C: Processor: AMD Ryzen 7 4800U @ 1.80GHz (8 Cores / 16 Threads), Motherboard: ASRock 4X4-4000 (P1.30Q BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB TS512GMTS952T-I, Graphics: AMD Renoir 512MB (1750/400MHz), Audio: AMD Renoir Radeon HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Realtek RTL8111/8168/8411 + Intel 8265 / 8275 OS: Ubuntu 22.04, Kernel: 5.19.0-rc6-phx-retbleed (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, 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: 3840x2160 srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better A . 274.2 |==================================================================== B . 268.5 |=================================================================== C . 268.3 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 346.7 |==================================================================== B . 338.3 |================================================================== C . 348.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better A . 301.7 |==================================================================== B . 301.7 |==================================================================== C . 300.0 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better A . 375.5 |=================================================================== B . 382.2 |==================================================================== C . 372.8 |================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 98.4 |===================================================================== B . 97.5 |==================================================================== C . 96.7 |==================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 4K FPS > Higher Is Better A . 4.44 |===================================================================== B . 4.47 |===================================================================== C . 4.47 |===================================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 4K FPS > Higher Is Better A . 1.34 |==================================================================== B . 1.36 |===================================================================== C . 1.36 |===================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 4K FPS > Higher Is Better A . 1.19 |==================================================================== B . 1.19 |==================================================================== C . 1.20 |===================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 4K FPS > Higher Is Better A . 0.32 |=================================================================== B . 0.33 |===================================================================== C . 0.33 |===================================================================== QuadRay 2022.05.25 Scene: 1 - Resolution: 1080p FPS > Higher Is Better A . 13.16 |===================================================== B . 16.81 |==================================================================== C . 13.32 |====================================================== QuadRay 2022.05.25 Scene: 2 - Resolution: 1080p FPS > Higher Is Better A . 5.07 |================================================================== B . 5.27 |===================================================================== C . 5.06 |================================================================== QuadRay 2022.05.25 Scene: 3 - Resolution: 1080p FPS > Higher Is Better A . 4.37 |================================================================ B . 4.69 |===================================================================== C . 4.68 |===================================================================== QuadRay 2022.05.25 Scene: 5 - Resolution: 1080p FPS > Higher Is Better A . 1.27 |=================================================================== B . 1.30 |==================================================================== C . 1.31 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.33 |===================================================================== B . 1.32 |==================================================================== C . 1.32 |==================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 0.87 |===================================================================== B . 0.86 |==================================================================== C . 0.87 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 0.86 |==================================================================== B . 0.85 |=================================================================== C . 0.87 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 73.97 |==================================================================== B . 72.24 |================================================================== C . 74.06 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 2.09 |==================================================================== B . 2.10 |===================================================================== C . 2.11 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 143.31 |================================================================== B . 144.27 |=================================================================== C . 145.10 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 157.66 |================================================================== B . 159.45 |=================================================================== C . 158.87 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 13.53 |==================================================================== B . 13.25 |=================================================================== C . 13.35 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 207.54 |================================================================== B . 210.50 |=================================================================== C . 210.23 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 164.98 |================================================================= B . 170.12 |=================================================================== C . 166.95 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 2727.54 |================================================================= B . 2749.47 |================================================================== C . 2747.24 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 3641.73 |================================================================= B . 3684.90 |================================================================== C . 3637.99 |================================================================= Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 139.1 |================================================================== B . 137.8 |================================================================= C . 143.8 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1200 - Effects Quality: High Frames Per Second > Higher Is Better A . 137.5 |=================================================================== B . 140.4 |==================================================================== C . 139.4 |==================================================================== Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: High Frames Per Second > Higher Is Better A . 130.0 |=================================================================== B . 132.9 |==================================================================== C . 131.0 |=================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: High Frames Per Second > Higher Is Better A . 84.7 |===================================================================== B . 84.7 |===================================================================== C . 84.5 |===================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 130.6 |================================================================= B . 136.1 |=================================================================== C . 137.2 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1200 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 131.6 |================================================================== B . 134.6 |==================================================================== C . 133.2 |=================================================================== Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 110.6 |==================================================================== B . 109.9 |==================================================================== C . 109.9 |==================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 59.1 |===================================================================== B . 59.1 |===================================================================== C . 59.2 |===================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 141.9 |==================================================================== B . 140.8 |=================================================================== C . 138.2 |================================================================== Unvanquished 0.53 Resolution: 1920 x 1200 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 143.5 |=============================================================== B . 155.8 |==================================================================== C . 140.6 |============================================================= Unvanquished 0.53 Resolution: 2560 x 1440 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 137.1 |================================================================== B . 134.2 |================================================================= C . 140.6 |==================================================================== Unvanquished 0.53 Resolution: 3840 x 2160 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 107.0 |==================================================================== B . 107.1 |==================================================================== C . 107.5 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.13 |===================================================================== B . 0.13 |===================================================================== C . 0.13 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 2.97 |==================================================================== B . 3.02 |===================================================================== C . 2.99 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 12.42 |================================================================== B . 12.82 |==================================================================== C . 12.22 |================================================================= AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 4.61 |==================================================================== B . 4.66 |===================================================================== C . 4.65 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 15.97 |================================================================== B . 16.39 |==================================================================== C . 16.39 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 20.67 |================================================================== B . 21.25 |==================================================================== C . 21.11 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 20.77 |================================================================== B . 21.25 |==================================================================== C . 21.12 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 0.36 |=================================================================== B . 0.37 |===================================================================== C . 0.37 |===================================================================== AOM AV1 3.5 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 7.14 |================================================================== B . 7.49 |===================================================================== C . 7.41 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 21.78 |================================================================= B . 22.79 |==================================================================== C . 21.42 |================================================================ AOM AV1 3.5 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 14.04 |=================================================================== B . 14.17 |==================================================================== C . 14.09 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 43.11 |==================================================================== B . 43.21 |==================================================================== C . 43.18 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 50.92 |==================================================================== B . 51.06 |==================================================================== C . 51.15 |==================================================================== AOM AV1 3.5 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 51.79 |==================================================================== B . 51.47 |==================================================================== C . 51.85 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 0.972 |=================================================================== B . 0.978 |==================================================================== C . 0.980 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 18.48 |==================================================================== B . 18.25 |=================================================================== C . 18.34 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 33.66 |==================================================================== B . 29.81 |============================================================ C . 30.13 |============================================================= SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 44.00 |================================================================== B . 45.10 |==================================================================== C . 45.12 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 3.106 |=================================================================== B . 3.125 |==================================================================== C . 3.145 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 50.24 |=================================================================== B . 50.38 |=================================================================== C . 51.11 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 108.08 |================================================================= B . 110.72 |=================================================================== C . 110.41 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 165.90 |================================================================= B . 169.27 |================================================================== C . 171.42 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better A . 23.71 |==================================================================== B . 23.83 |==================================================================== C . 23.84 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better A . 30.47 |=================================================================== B . 30.68 |==================================================================== C . 30.71 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better A . 13.21 |==================================================================== B . 13.21 |==================================================================== C . 13.26 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better A . 4.40 |===================================================================== B . 4.38 |==================================================================== C . 4.42 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better A . 13.24 |==================================================================== B . 13.29 |==================================================================== C . 13.29 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better A . 4.43 |===================================================================== B . 4.44 |===================================================================== C . 4.46 |===================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better A . 355 |====================================================================== B . 349 |===================================================================== C . 346 |==================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better A . 496 |=================================================================== B . 521 |====================================================================== C . 516 |===================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better A . 102 |====================================================================== B . 101 |===================================================================== C . 101 |===================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better A . 159 |====================================================================== B . 160 |====================================================================== C . 160 |====================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better A . 689 |==================================================================== B . 712 |====================================================================== C . 712 |====================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better A . 188 |===================================================================== B . 189 |===================================================================== C . 191 |====================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better A . 565 |================================================================ B . 617 |====================================================================== C . 605 |===================================================================== C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better A . 4431.4 |================================================================== B . 4493.6 |=================================================================== C . 4498.5 |=================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better A . 2657.3 |=================================================================== B . 2664.1 |=================================================================== C . 2666.2 |=================================================================== SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better A . 47037.33 |================================================================= B . 47283.81 |================================================================= C . 47158.66 |================================================================= SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better A . 298.27 |=================================================================== B . 298.66 |=================================================================== C . 298.06 |=================================================================== SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better A . 29015.13 |================================================================= B . 29006.35 |================================================================= C . 28973.09 |================================================================= SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better A . 13404.26 |================================================================ B . 13509.01 |================================================================= C . 13369.51 |================================================================ SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better A . 32079.66 |================================================================ B . 32387.63 |================================================================= C . 32090.80 |================================================================ SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better A . 31569.77 |================================================================= B . 31618.39 |================================================================= C . 31514.44 |================================================================= SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better A . 55317.80 |================================================================= B . 55588.09 |================================================================= C . 54838.74 |================================================================ SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better A . 135421.25 |================================================================ B . 129449.65 |============================================================= C . 130637.98 |============================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better A . 76333.93 |================================================================= B . 76261.77 |================================================================= C . 76036.30 |================================================================= 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 34151 |=================================================================== B . 34503 |==================================================================== C . 34579 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 43947 |=================================================================== B . 44573 |==================================================================== C . 44866 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better A . 15.72 |==================================================================== B . 15.58 |=================================================================== C . 15.28 |================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better A . 9.87 |================================================================= B . 10.29 |==================================================================== C . 9.85 |================================================================= WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better A . 1.15 |===================================================================== B . 1.15 |===================================================================== C . 1.15 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better A . 3.22 |===================================================================== B . 3.23 |===================================================================== C . 3.22 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better A . 4.83 |===================================================================== B . 4.74 |==================================================================== C . 4.77 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better A . 0.08 |===================================================================== B . 0.08 |===================================================================== C . 0.08 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better A . 0.04 |===================================================================== B . 0.04 |===================================================================== C . 0.04 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better A . 2.14 |==================================================================== B . 2.15 |==================================================================== C . 2.17 |===================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Op/s > Higher Is Better A . 549392 |=================================================================== B . 551829 |=================================================================== C . 551546 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better A . 25572231 |=============================================================== B . 26338023 |================================================================= C . 26126775 |================================================================ Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better A . 291471 |================================================================== B . 292449 |=================================================================== C . 294446 |=================================================================== Facebook RocksDB 7.5.3 Test: Sequential Fill Op/s > Higher Is Better A . 695239 |================================================================== B . 687072 |================================================================= C . 703946 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Sync Op/s > Higher Is Better A . 2662 |==================================================================== B . 2653 |==================================================================== C . 2687 |===================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better A . 1101434 |================================================================ B . 1118927 |================================================================= C . 1133798 |================================================================== Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better A . 824795 |=================================================================== B . 824645 |=================================================================== C . 827539 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better A . 51.35 |==================================================================== B . 48.86 |================================================================= C . 47.73 |=============================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better A . 56.13 |==================================================================== B . 55.21 |=================================================================== C . 55.91 |==================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better A . 57.57 |=================================================================== B . 54.60 |=============================================================== C . 58.84 |==================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better A . 128073333 |================================================================ B . 119400000 |============================================================ C . 121700000 |============================================================= spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better A . 10169 |==================================================================== B . 10042 |=================================================================== C . 10023 |=================================================================== spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better A . 368 |====================================================================== B . 368 |====================================================================== C . 368 |====================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better A . 106.2 |==================================================================== B . 106.2 |==================================================================== C . 105.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 151.5 |==================================================================== B . 148.2 |================================================================== C . 151.7 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better A . 114.0 |==================================================================== B . 114.1 |==================================================================== C . 114.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better A . 160.4 |=================================================================== B . 162.9 |==================================================================== C . 159.1 |================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 54.7 |===================================================================== B . 53.8 |==================================================================== C . 53.5 |=================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better A . 90251 |==================================================================== B . 90606 |==================================================================== C . 90523 |==================================================================== SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better A . 12.54 |==================================================================== B . 12.48 |==================================================================== C . 12.48 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better A . 1299.84 |================================================================== B . 1299.12 |================================================================== C . 1301.44 |================================================================== SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better A . 25.02 |==================================================================== B . 25.01 |==================================================================== C . 25.05 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better A . 17.98 |==================================================================== B . 17.81 |=================================================================== C . 18.03 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better A . 31.07 |==================================================================== B . 30.58 |=================================================================== C . 31.23 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better A . 16.89 |==================================================================== B . 16.90 |==================================================================== C . 16.89 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better A . 20.94 |==================================================================== B . 20.83 |==================================================================== C . 20.94 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better A . 16.89 |==================================================================== B . 16.90 |==================================================================== C . 16.90 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better A . 28.00 |==================================================================== B . 27.92 |==================================================================== C . 28.00 |==================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 14.28 |==================================================================== B . 14.19 |==================================================================== C . 14.28 |==================================================================== oneDNN 2.7 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 20.90 |==================================================================== B . 20.38 |================================================================== C . 19.69 |================================================================ oneDNN 2.7 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 3.31774 |================================================================== B . 3.24690 |================================================================= C . 3.23184 |================================================================ oneDNN 2.7 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 4.80714 |================================================================== B . 4.81270 |================================================================== C . 4.81470 |================================================================== oneDNN 2.7 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 51.34 |==================================================================== B . 51.36 |==================================================================== C . 51.35 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 10.76 |================================================================ B . 11.46 |==================================================================== C . 10.80 |================================================================ oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 9.63379 |================================================================== B . 9.54653 |================================================================= C . 9.63536 |================================================================== oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 48.59 |==================================================================== B . 48.52 |==================================================================== C . 48.42 |==================================================================== oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 4.71385 |================================================================== B . 4.64717 |================================================================= C . 4.63135 |================================================================= oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 5.92046 |================================================================== B . 5.83337 |================================================================= C . 5.79261 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 8686.14 |================================================================== B . 8629.97 |================================================================== C . 8640.73 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 8051.80 |================================================================== B . 7975.32 |================================================================= C . 7944.16 |================================================================= oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 8637.51 |================================================================== B . 8686.17 |================================================================== C . 8614.66 |================================================================= oneDNN 2.7 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 8025.41 |================================================================== B . 7918.33 |================================================================= C . 7884.07 |================================================================= oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better A . 9.70453 |================================================================== B . 9.71677 |================================================================== C . 9.72365 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 8630.92 |================================================================== B . 8592.08 |================================================================== C . 8586.80 |================================================================== oneDNN 2.7 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better A . 8063.85 |================================================================== B . 7887.60 |================================================================= C . 7857.71 |================================================================ oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better A . 6.79016 |================================================================== B . 6.78025 |================================================================== C . 6.79224 |================================================================== oneDNN 2.7 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 17.57 |==================================================================== B . 16.97 |================================================================== C . 17.30 |=================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 2.627 |==================================================================== B . 2.559 |================================================================== C . 2.523 |================================================================= Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 5.104 |==================================================================== B . 4.873 |================================================================= C . 4.786 |================================================================ Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 43.68 |==================================================================== B . 41.91 |================================================================= C . 42.39 |================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 10.58 |==================================================================== B . 10.26 |================================================================== C . 10.28 |================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 5.743 |==================================================================== B . 5.574 |================================================================== C . 5.519 |================================================================= Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 4.837 |==================================================================== B . 4.735 |=================================================================== C . 4.756 |=================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 55.86 |==================================================================== B . 54.76 |=================================================================== C . 54.14 |================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 32.91 |================================================================== B . 33.81 |==================================================================== C . 32.79 |================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 10.58 |==================================================================== B . 10.56 |==================================================================== C . 10.53 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 8.33 |==================================================================== B . 8.43 |===================================================================== C . 8.48 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 5.72 |===================================================================== B . 5.64 |==================================================================== C . 5.71 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 6.98 |===================================================================== B . 6.93 |===================================================================== C . 6.90 |==================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 13.67 |==================================================================== B . 13.67 |==================================================================== C . 13.57 |==================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 2.40 |==================================================================== B . 2.40 |==================================================================== C . 2.43 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 30.39 |==================================================================== B . 30.35 |==================================================================== C . 30.36 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 123.21 |=================================================================== B . 123.30 |=================================================================== C . 123.54 |=================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 24.42 |==================================================================== B . 24.47 |==================================================================== C . 24.39 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 16.82 |==================================================================== B . 16.90 |==================================================================== C . 16.84 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 49.04 |================================================================== B . 50.29 |==================================================================== C . 49.11 |================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 53.93 |================================================================= B . 56.11 |==================================================================== C . 53.68 |================================================================= NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 40.60 |==================================================================== B . 40.68 |==================================================================== C . 40.25 |=================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 15.88 |==================================================================== B . 15.90 |==================================================================== C . 15.85 |==================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 277.23 |=================================================================== B . 278.88 |=================================================================== C . 273.34 |================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 6.99 |===================================================================== B . 6.87 |==================================================================== C . 6.93 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 15.69 |==================================================================== B . 14.54 |=============================================================== C . 14.77 |================================================================ NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 5.90 |=================================================================== B . 6.04 |===================================================================== C . 6.06 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 6.41 |=================================================================== B . 6.30 |================================================================== C . 6.60 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 4.52 |================================================================== B . 4.45 |================================================================= C . 4.73 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 5.89 |==================================================================== B . 5.90 |==================================================================== C . 5.98 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 13.11 |==================================================================== B . 13.03 |==================================================================== C . 13.03 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.56 |===================================================================== B . 1.55 |===================================================================== C . 1.55 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 11.50 |==================================================================== B . 11.52 |==================================================================== C . 11.42 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 40.67 |==================================================================== B . 40.63 |==================================================================== C . 40.72 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 9.16 |=================================================================== B . 9.26 |==================================================================== C . 9.37 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 11.33 |=================================================================== B . 11.42 |==================================================================== C . 11.36 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 18.16 |==================================================================== B . 18.23 |==================================================================== C . 18.29 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 21.99 |=================================================================== B . 19.91 |============================================================= C . 22.26 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 11.47 |==================================================================== B . 11.46 |==================================================================== C . 11.49 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 7.74 |=================================================================== B . 7.97 |===================================================================== C . 7.83 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 495.39 |=================================================================== B . 496.55 |=================================================================== C . 485.92 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 5.16 |=============================================================== B . 5.13 |=============================================================== C . 5.61 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 3002.50 |================================================================== B . 3014.86 |================================================================== C . 3015.78 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 4534.61 |================================================================= B . 4573.79 |================================================================== C . 4489.79 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 4596.84 |================================================================= B . 4638.17 |================================================================== C . 4537.87 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 53.97 |================================================================== B . 55.27 |==================================================================== C . 53.90 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 1912.86 |================================================================== B . 1902.89 |================================================================== C . 1890.83 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 27.87 |==================================================================== B . 27.68 |==================================================================== C . 27.52 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 25.33 |==================================================================== B . 25.05 |=================================================================== C . 25.14 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 295.20 |================================================================== B . 301.38 |=================================================================== C . 299.12 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 38.50 |==================================================================== B . 37.94 |=================================================================== C . 38.00 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 24.20 |==================================================================== B . 23.47 |================================================================== C . 23.91 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 2.88 |===================================================================== B . 2.85 |==================================================================== C . 2.86 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 2.12 |===================================================================== B . 2.10 |==================================================================== C . 2.12 |===================================================================== OpenFOAM 10 Input: motorBike - Mesh Time Seconds < Lower Is Better A . 81.71 |==================================================================== B . 82.13 |==================================================================== C . 80.67 |=================================================================== OpenFOAM 10 Input: motorBike - Execution Time Seconds < Lower Is Better A . 460.35 |=================================================================== B . 462.05 |=================================================================== C . 461.84 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time Seconds < Lower Is Better A . 106.19 |=================================================================== B . 106.19 |=================================================================== C . 106.78 |=================================================================== OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time Seconds < Lower Is Better A . 1434.16 |================================================================== B . 1440.02 |================================================================== C . 1436.57 |================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 1318.03 |================================================================== B . 1310.61 |================================================================== C . 1311.33 |================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 118.96 |================================================================== B . 119.91 |=================================================================== C . 119.83 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 31.33 |==================================================================== B . 31.45 |==================================================================== C . 31.15 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 363.74 |=================================================================== B . 366.38 |=================================================================== C . 365.70 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 1B Seconds < Lower Is Better A . 173.90 |=================================================================== B . 173.32 |=================================================================== C . 172.68 |=================================================================== Y-Cruncher 0.7.10.9513 Pi Digits To Calculate: 500M Seconds < Lower Is Better A . 76.93 |==================================================================== B . 77.15 |==================================================================== C . 76.83 |==================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 195.38 |=================================================================== B . 195.07 |=================================================================== C . 193.12 |================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 126.24 |=================================================================== B . 126.41 |=================================================================== C . 125.92 |=================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better A . 20.35 |==================================================================== B . 20.23 |==================================================================== C . 19.94 |=================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 227.80 |=================================================================== B . 227.88 |=================================================================== C . 226.99 |===================================================================