12400 nnn Intel Core i5-12400 testing with a MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS) and MSI Intel ADL-S GT1 14GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i5-12400 @ 5.60GHz (6 Cores / 12 Threads), Motherboard: MSI PRO Z690-A WIFI DDR4(MS-7D25) v1.0 (Dasharo coreboot+UEFI v1.0.0 BIOS), Chipset: Intel Device 7aa7, Memory: 16GB, Disk: Western Digital WD_BLACK SN750 SE 500GB, Graphics: MSI Intel ADL-S GT1 14GB (1450MHz), Audio: Realtek ALC897, Monitor: DELL S2409W, Network: Intel I225-V + Intel Device 7af0 OS: Ubuntu 22.04, Kernel: 5.15.0-40-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better A . 7.005 |==================================================================== B . 6.933 |=================================================================== C . 6.976 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 205.8 |==================================================================== B . 206.7 |==================================================================== C . 206.2 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 108.9 |==================================================================== B . 108.9 |==================================================================== C . 109.1 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 253.4 |==================================================================== B . 253.2 |==================================================================== C . 253.5 |==================================================================== C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better A . 14819.2 |================================================================= B . 14987.7 |================================================================== C . 14905.8 |================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better A . 8710.1 |================================================================== B . 8863.5 |=================================================================== C . 8812.3 |=================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better A . 6.345 |=================================================================== B . 6.444 |==================================================================== C . 6.443 |==================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 6.525 |==================================================================== B . 6.557 |==================================================================== C . 6.564 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better A . 17.80 |==================================================================== B . 17.83 |==================================================================== C . 17.82 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better A . 11.48 |==================================================================== B . 11.48 |==================================================================== C . 11.49 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better A . 1.61 |===================================================================== B . 1.60 |===================================================================== C . 1.61 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better A . 3.57 |===================================================================== B . 3.56 |===================================================================== C . 3.56 |===================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better A . 0.63 |==================================================================== B . 0.61 |================================================================== C . 0.64 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better A . 5.83 |===================================================================== B . 5.82 |===================================================================== C . 5.85 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better A . 0.10 |===================================================================== B . 0.09 |============================================================== C . 0.10 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better A . 0.05 |===================================================================== B . 0.05 |===================================================================== C . 0.04 |======================================================= WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better A . 2.91 |===================================================================== B . 2.84 |=================================================================== C . 2.93 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better A . 0.01 |===================================================================== B . 0.01 |===================================================================== C . 0.01 |===================================================================== srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better A . 146700000 |============================================================= B . 153000000 |================================================================ C . 152200000 |================================================================ srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better A . 441.8 |=================================================================== B . 446.0 |==================================================================== C . 447.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better A . 127.1 |==================================================================== B . 127.6 |==================================================================== C . 127.4 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 448.4 |=================================================================== B . 451.8 |==================================================================== C . 449.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 160.2 |==================================================================== B . 160.3 |==================================================================== C . 160.5 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better A . 494.5 |==================================================================== B . 492.9 |==================================================================== C . 491.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better A . 144.8 |==================================================================== B . 145.1 |==================================================================== C . 145.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better A . 500.0 |==================================================================== B . 494.4 |=================================================================== C . 499.9 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better A . 176.4 |==================================================================== B . 176.7 |==================================================================== C . 176.9 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 156.1 |=================================================================== B . 158.5 |==================================================================== C . 157.6 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 73.3 |===================================================================== B . 73.3 |===================================================================== C . 73.3 |===================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better A . 389 |====================================================================== B . 376 |==================================================================== C . 382 |===================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better A . 924 |================================================================= B . 989 |====================================================================== C . 990 |====================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better A . 107 |====================================================================== B . 101 |================================================================== C . 101 |================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better A . 169 |==================================================================== B . 174 |====================================================================== C . 172 |===================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better A . 796 |==================================================================== B . 822 |====================================================================== C . 806 |===================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better A . 217 |===================================================================== B . 219 |====================================================================== C . 219 |====================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better A . 900 |=================================================================== B . 944 |====================================================================== C . 941 |====================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 1.517 |==================================================================== B . 1.517 |==================================================================== C . 1.521 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 28.30 |============================================================== B . 30.99 |==================================================================== C . 30.92 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 59.62 |================================================================= B . 61.62 |=================================================================== C . 62.08 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 86.72 |=================================================================== B . 87.54 |==================================================================== C . 87.63 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 5.259 |==================================================================== B . 5.213 |=================================================================== C . 5.249 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 86.35 |==================================================================== B . 86.90 |==================================================================== C . 86.00 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 192.23 |=================================================================== B . 192.99 |=================================================================== C . 191.45 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 334.03 |================================================================== B . 338.08 |=================================================================== C . 335.94 |=================================================================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 53070 |==================================================================== B . 52989 |==================================================================== C . 53168 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 39968 |=================================================================== B . 40510 |==================================================================== C . 40328 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 763.06 |=================================================================== B . 762.63 |=================================================================== C . 764.18 |=================================================================== Timed PHP Compilation 8.1.9 Time To Compile Seconds < Lower Is Better A . 69.99 |=================================================================== B . 70.66 |==================================================================== C . 70.16 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 19.88 |==================================================================== B . 19.71 |=================================================================== C . 19.80 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 245.38 |================================================================== B . 246.62 |================================================================== C . 248.58 |=================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 28.66 |==================================================================== B . 28.63 |==================================================================== C . 28.59 |==================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 342.26 |=================================================================== B . 342.69 |=================================================================== C . 343.39 |=================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 110.92 |=================================================================== B . 111.60 |=================================================================== C . 111.06 |=================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 71.50 |=================================================================== B . 70.76 |=================================================================== C . 72.28 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better A . 16.06 |================================================================= B . 16.81 |==================================================================== C . 16.14 |================================================================= Aircrack-ng 1.7 k/s > Higher Is Better A . 23816.46 |================================================================= B . 22726.61 |============================================================== C . 23834.90 |================================================================= ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache Queries Per Minute, Geo Mean > Higher Is Better A . 111.96 |=================================================================== B . 111.76 |================================================================== C . 112.78 |=================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run Queries Per Minute, Geo Mean > Higher Is Better A . 130.37 |=================================================================== B . 125.64 |================================================================= C . 128.47 |================================================================== ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run Queries Per Minute, Geo Mean > Higher Is Better A . 126.64 |================================================================= B . 129.40 |================================================================== C . 131.32 |=================================================================== Apache CouchDB 3.2.2 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better A . 90.29 |==================================================================== B . 89.18 |=================================================================== C . 89.70 |==================================================================== Apache CouchDB 3.2.2 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better A . 279.67 |=================================================================== B . 281.70 |=================================================================== C . 281.50 |=================================================================== Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better A . 195.56 |=================================================================== B . 168.26 |========================================================== C . 172.76 |=========================================================== Apache CouchDB 3.2.2 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better A . 1077.45 |====================================================== B . 1324.70 |================================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 3291442.71 |============================================================== B . 3292038.33 |============================================================== C . 3356477.98 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 3540006.65 |=============================================================== B . 3504814.41 |============================================================== C . 3496653.75 |============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 3234764.70 |=============================================================== B . 3180042.72 |============================================================== C . 3177766.60 |============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2893948.93 |============================================================== B . 2956169.14 |=============================================================== C . 2768715.57 |=========================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 3069817.74 |============================================================== B . 3063805.00 |============================================================== C . 3098427.56 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2780403.66 |============================================================== B . 2785310.85 |=============================================================== C . 2807087.71 |=============================================================== Redis 7.0.4 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 4043025.50 |=============================================================== B . 3893544.25 |============================================================= C . 3923159.50 |============================================================= Redis 7.0.4 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 3061154.5 |=============================================================== B . 3047720.0 |=============================================================== C . 3088000.0 |================================================================ Redis 7.0.4 Test: GET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 3896578.50 |=============================================================== B . 3902966.00 |=============================================================== C . 3894757.25 |=============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 3057410.75 |============================================================== B . 3090099.25 |=============================================================== C . 3081719.25 |=============================================================== Redis 7.0.4 Test: GET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 3450479.25 |============================================================== B . 3515495.75 |=============================================================== C . 3218151.75 |========================================================== Redis 7.0.4 Test: SET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 3036378.50 |============================================================== B . 3075085.75 |=============================================================== C . 3070176.75 |=============================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 118.61 |=================================================================== B . 118.61 |=================================================================== C . 118.64 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 46.42 |==================================================================== B . 46.43 |==================================================================== C . 46.42 |==================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 6.1356 |=================================================================== B . 6.1364 |=================================================================== C . 6.1360 |=================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 0.5585 |=================================================================== B . 0.5581 |=================================================================== C . 0.5579 |=================================================================== Inkscape Operation: SVG Files To PNG Seconds < Lower Is Better A . 21.07 |==================================================================== B . 21.12 |==================================================================== C . 20.97 |==================================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2556576.02 |=============================================================== B . 2182172.40 |====================================================== C . 2256323.36 |======================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2533010.01 |=============================================================== B . 2437654.47 |============================================================= C . 2383162.78 |=========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2216344.47 |=============================================================== B . 2191068.09 |============================================================== C . 2152632.21 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2190464.39 |=============================================================== B . 1906142.21 |====================================================== C . 2207607.06 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2371007.82 |=============================================================== B . 2290690.91 |============================================================= C . 2309526.13 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2078165.77 |=============================================================== B . 2053903.96 |============================================================== C . 1789262.36 |====================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2394979.44 |============================================================ B . 2448790.70 |============================================================= C . 2521142.28 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2471856.79 |=============================================================== B . 2260720.03 |========================================================== C . 2291270.04 |========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2379834.00 |========================================================== B . 2388167.67 |========================================================== C . 2590307.90 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2147254.39 |=========================================================== B . 2291531.98 |=============================================================== C . 2179047.93 |============================================================ memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2361490.32 |=============================================================== B . 2323372.49 |============================================================= C . 2380367.36 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2550490.86 |============================================================= B . 2652882.35 |=============================================================== C . 2437392.24 |========================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 8.802 |=================================================================== B . 8.890 |=================================================================== C . 8.957 |==================================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.043 |==================================================================== B . 1.037 |=================================================================== C . 1.047 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 2.358 |=================================================================== B . 2.366 |==================================================================== C . 2.377 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 21.75 |==================================================================== B . 21.52 |=================================================================== C . 21.74 |==================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 3.740 |=================================================================== B . 3.763 |=================================================================== C . 3.796 |==================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 2.195 |==================================================================== B . 2.197 |==================================================================== C . 2.211 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.065 |==================================================================== B . 3.044 |==================================================================== C . 3.065 |==================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 25.74 |==================================================================== B . 25.76 |==================================================================== C . 25.86 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 12.24 |==================================================================== B . 12.21 |==================================================================== C . 12.30 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.14 |==================================================================== B . 3.20 |===================================================================== C . 3.17 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.57 |=================================================================== B . 2.60 |==================================================================== C . 2.64 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.73 |==================================================================== B . 2.79 |===================================================================== C . 2.76 |==================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 2.54 |==================================================================== B . 2.59 |===================================================================== C . 2.58 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.41 |==================================================================== B . 5.49 |===================================================================== C . 5.45 |==================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.82 |==================================================================== B . 0.83 |===================================================================== C . 0.83 |===================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 10.31 |=================================================================== B . 10.46 |==================================================================== C . 10.41 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 51.20 |==================================================================== B . 51.02 |==================================================================== C . 51.25 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 9.97 |================================================================== B . 10.32 |==================================================================== C . 10.34 |==================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 8.10 |===================================================================== B . 8.08 |===================================================================== C . 8.10 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 18.73 |==================================================================== B . 18.71 |==================================================================== C . 18.75 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 21.55 |==================================================================== B . 21.48 |==================================================================== C . 21.33 |=================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.08 |==================================================================== B . 15.02 |=================================================================== C . 15.15 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 7.66 |==================================================================== B . 7.79 |===================================================================== C . 7.79 |===================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 200.29 |=================================================================== B . 200.59 |=================================================================== C . 200.92 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 3.32 |===================================================================== B . 3.32 |===================================================================== C . 3.34 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 640.10 |=================================================================== B . 639.19 |=================================================================== C . 642.89 |=================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 198.49 |=================================================================== B . 198.31 |=================================================================== C . 198.50 |=================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 167.56 |=================================================================== B . 167.14 |=================================================================== C . 167.03 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 106.33 |=================================================================== B . 106.46 |=================================================================== C . 106.47 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 205.01 |=================================================================== B . 205.14 |=================================================================== C . 204.35 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 293.29 |=================================================================== B . 292.26 |=================================================================== C . 292.89 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 49.09 |==================================================================== B . 48.74 |==================================================================== C . 48.81 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 545.67 |=================================================================== B . 545.92 |=================================================================== C . 543.95 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 2831.92 |================================================================= B . 2841.52 |================================================================= C . 2863.52 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 514.12 |=================================================================== B . 515.34 |=================================================================== C . 516.93 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 537.52 |=================================================================== B . 537.72 |=================================================================== C . 536.66 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 1362.23 |================================================================== B . 1366.64 |================================================================== C . 1367.26 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 898.18 |================================================================== B . 903.06 |=================================================================== C . 906.50 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 492.08 |================================================================== B . 495.99 |=================================================================== C . 497.79 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 266.42 |=================================================================== B . 266.93 |=================================================================== C . 267.27 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 7493.77 |================================================================== B . 7491.53 |================================================================== C . 7496.91 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 97.27 |==================================================================== B . 97.43 |==================================================================== C . 96.87 |==================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 172.85 |=================================================================== B . 171.31 |================================================================== C . 172.27 |=================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 478.06 |=================================================================== B . 476.21 |=================================================================== C . 477.49 |=================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 242.60 |=================================================================== B . 241.40 |=================================================================== C . 241.68 |=================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 1939.29 |================================================================== B . 1936.18 |================================================================== C . 1937.31 |================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 603.24 |=================================================================== B . 604.10 |=================================================================== C . 601.99 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.54 |===================================================================== B . 1.54 |===================================================================== C . 1.55 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 2579.07 |================================================================== B . 2566.17 |================================================================== C . 2557.91 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.16 |===================================================================== B . 1.13 |=================================================================== C . 1.16 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 3440.07 |================================================================== B . 3450.77 |================================================================== C . 3412.02 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 1.12 |==================================================================== B . 1.14 |===================================================================== C . 1.14 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 3480.06 |================================================================== B . 3484.58 |================================================================== C . 3483.55 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 143.69 |=================================================================== B . 118.42 |======================================================= C . 134.98 |=============================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 27.82 |======================================================== B . 33.75 |==================================================================== C . 29.61 |============================================================ OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 7.13 |==================================================================== B . 7.21 |===================================================================== C . 7.18 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 560.65 |=================================================================== B . 554.46 |================================================================== C . 556.50 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 332.45 |=================================================================== B . 323.11 |================================================================= C . 329.51 |================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 12.02 |================================================================== B . 12.37 |==================================================================== C . 12.13 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 186.97 |=================================================================== B . 186.71 |=================================================================== C . 186.67 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 32.07 |==================================================================== B . 32.11 |==================================================================== C . 32.13 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 21.63 |==================================================================== B . 21.23 |=================================================================== C . 21.55 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 184.63 |================================================================== B . 188.14 |=================================================================== C . 185.45 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 712.15 |=================================================================== B . 710.39 |=================================================================== C . 712.78 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 8.41 |===================================================================== B . 8.43 |===================================================================== C . 8.40 |===================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 274.91 |=================================================================== B . 275.05 |=================================================================== C . 274.67 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 14.54 |==================================================================== B . 14.53 |==================================================================== C . 14.55 |==================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 5191.97 |================================================================== B . 5190.80 |================================================================== C . 5224.02 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 1.14 |===================================================================== B . 1.14 |===================================================================== C . 1.13 |==================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 12248.29 |================================================================= B . 12208.42 |================================================================= C . 12274.19 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.49 |===================================================================== B . 0.49 |===================================================================== C . 0.49 |===================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Op/s > Higher Is Better A . 841127 |================================================================= B . 857849 |================================================================== C . 872567 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better A . 46480389 |================================================================ B . 46884294 |================================================================ C . 47409319 |================================================================= Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better A . 669994 |=================================================================== B . 661339 |================================================================== C . 632275 |=============================================================== Facebook RocksDB 7.5.3 Test: Sequential Fill Op/s > Higher Is Better A . 1410830 |============================================================== B . 1455436 |=============================================================== C . 1513059 |================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Sync Op/s > Higher Is Better A . 3134 |===================================================================== B . 3091 |==================================================================== C . 3118 |===================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better A . 1561035 |================================================================= B . 1528756 |================================================================ C . 1583316 |================================================================== Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better A . 1569980 |================================================================== B . 1576451 |================================================================== C . 1577027 |================================================================== Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 2.5 |=================================================================== B . 2.6 |====================================================================== C . 2.6 |====================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better A . 118824 |=================================================================== B . 118454 |=================================================================== C . 118684 |===================================================================