dddA Intel Core i9-10900K testing with a Gigabyte Z490 AORUS MASTER (F21c BIOS) and Sapphire AMD Radeon RX 5600 XT 6GB on Ubuntu 21.10 via the Phoronix Test Suite. A: Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F21c BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: Sapphire AMD Radeon RX 5600 XT 6GB (1780/875MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I225-V + Intel Comet Lake PCH CNVi WiFi OS: Ubuntu 21.10, Kernel: 5.17.0-051700rc7daily20220309-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.6 (LLVM 12.0.1), Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F21c BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: Sapphire AMD Radeon RX 5600 XT 6GB (1780/875MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I225-V + Intel Comet Lake PCH CNVi WiFi OS: Ubuntu 21.10, Kernel: 5.17.0-051700rc7daily20220309-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.6 (LLVM 12.0.1), Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i9-10900K @ 5.30GHz (10 Cores / 20 Threads), Motherboard: Gigabyte Z490 AORUS MASTER (F21c BIOS), Chipset: Intel Comet Lake PCH, Memory: 16GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: Sapphire AMD Radeon RX 5600 XT 6GB (1780/875MHz), Audio: Realtek ALC1220, Monitor: MX279, Network: Intel I225-V + Intel Comet Lake PCH CNVi WiFi OS: Ubuntu 21.10, Kernel: 5.17.0-051700rc7daily20220309-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server 1.20.13 + Wayland, OpenGL: 4.6 Mesa 21.2.6 (LLVM 12.0.1), Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM eNb Mb/s > Higher Is Better A . 432.1 |=================================================================== B . 433.2 |=================================================================== C . 438.2 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 437.7 |================================================================== B . 451.5 |==================================================================== C . 441.6 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM eNb Mb/s > Higher Is Better A . 470.3 |==================================================================== B . 473.2 |==================================================================== C . 473.1 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM eNb Mb/s > Higher Is Better A . 466.4 |=================================================================== B . 476.2 |==================================================================== C . 473.7 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM eNb Mb/s > Higher Is Better A . 139.2 |==================================================================== B . 137.5 |=================================================================== C . 135.6 |================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 3.22 |===================================================================== B . 3.21 |===================================================================== C . 3.23 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 1.87 |==================================================================== B . 1.87 |==================================================================== C . 1.90 |===================================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 1.88 |==================================================================== B . 1.89 |==================================================================== C . 1.91 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 134.79 |================================================================== B . 135.59 |=================================================================== C . 135.95 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 6.97 |===================================================================== B . 7.00 |===================================================================== C . 7.01 |===================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 427.50 |=================================================================== B . 421.97 |================================================================== C . 414.12 |================================================================= OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 323.43 |=================================================================== B . 322.94 |=================================================================== C . 321.96 |=================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 31.58 |=================================================================== B . 31.92 |==================================================================== C . 31.57 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 709.10 |=================================================================== B . 710.55 |=================================================================== C . 709.01 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 283.90 |================================================================== B . 286.52 |================================================================== C . 290.20 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 10418.69 |================================================================= B . 10458.33 |================================================================= C . 10439.92 |================================================================= OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 18492.98 |================================================================= B . 18397.33 |================================================================= C . 18514.46 |================================================================= Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 2.9 |============================================================== B . 3.3 |====================================================================== C . 3.3 |====================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: OpenGL Frames Per Second > Higher Is Better A . 82.2 |==================================================================== B . 83.1 |===================================================================== C . 83.3 |===================================================================== GravityMark 1.70 Resolution: 1920 x 1080 - Renderer: Vulkan Frames Per Second > Higher Is Better A . 81.6 |===================================================================== B . 81.7 |===================================================================== C . 81.6 |===================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: High Frames Per Second > Higher Is Better A . 458.2 |=================================================================== B . 467.2 |==================================================================== C . 463.7 |=================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Ultra Frames Per Second > Higher Is Better A . 466.6 |==================================================================== B . 465.8 |==================================================================== C . 463.4 |==================================================================== Unvanquished 0.53 Resolution: 1920 x 1080 - Effects Quality: Medium Frames Per Second > Higher Is Better A . 476.3 |==================================================================== B . 474.7 |==================================================================== C . 472.2 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 1.826 |==================================================================== B . 1.827 |==================================================================== C . 1.829 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 37.87 |================================================================== B . 39.19 |==================================================================== C . 38.80 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 71.87 |================================================================= B . 75.30 |==================================================================== C . 75.47 |==================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better A . 98.62 |=============================================================== B . 104.29 |=================================================================== C . 102.51 |================================================================== SVT-AV1 1.2 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 5.583 |==================================================================== B . 5.624 |==================================================================== C . 5.573 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 108.90 |================================================================== B . 109.36 |================================================================== C . 110.28 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 10 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 245.40 |================================================================== B . 247.63 |=================================================================== C . 246.91 |=================================================================== SVT-AV1 1.2 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better A . 390.51 |================================================================ B . 404.74 |=================================================================== C . 407.25 |=================================================================== GraphicsMagick 1.3.38 Operation: Swirl Iterations Per Minute > Higher Is Better A . 504 |===================================================================== B . 515 |====================================================================== C . 514 |====================================================================== GraphicsMagick 1.3.38 Operation: Rotate Iterations Per Minute > Higher Is Better A . 795 |========================================================== B . 898 |================================================================== C . 956 |====================================================================== GraphicsMagick 1.3.38 Operation: Sharpen Iterations Per Minute > Higher Is Better A . 170 |====================================================================== B . 171 |====================================================================== C . 171 |====================================================================== GraphicsMagick 1.3.38 Operation: Enhanced Iterations Per Minute > Higher Is Better A . 266 |===================================================================== B . 269 |====================================================================== C . 269 |====================================================================== GraphicsMagick 1.3.38 Operation: Resizing Iterations Per Minute > Higher Is Better A . 1186 |=================================================================== B . 1227 |===================================================================== C . 1224 |===================================================================== GraphicsMagick 1.3.38 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better A . 322 |===================================================================== B . 328 |====================================================================== C . 328 |====================================================================== GraphicsMagick 1.3.38 Operation: HWB Color Space Iterations Per Minute > Higher Is Better A . 1139 |=============================================================== B . 1242 |===================================================================== C . 1227 |==================================================================== Aircrack-ng 1.7 k/s > Higher Is Better A . 46744.25 |================================================================= B . 46755.50 |================================================================= C . 46766.03 |================================================================= C-Blosc 2.3 Test: blosclz shuffle MB/s > Higher Is Better A . 16350.9 |================================================================= B . 16555.1 |================================================================== C . 16500.1 |================================================================== C-Blosc 2.3 Test: blosclz bitshuffle MB/s > Higher Is Better A . 8475.7 |================================================================== B . 8668.7 |=================================================================== C . 8462.7 |================================================================= 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 71164 |==================================================================== B . 71255 |==================================================================== C . 71544 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 74166 |==================================================================== B . 73766 |=================================================================== C . 74493 |==================================================================== WebP Image Encode 1.2.4 Encode Settings: Default MP/s > Higher Is Better A . 19.00 |================================================================== B . 19.59 |==================================================================== C . 18.99 |================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100 MP/s > Higher Is Better A . 12.23 |================================================================== B . 12.59 |==================================================================== C . 12.24 |================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless MP/s > Higher Is Better A . 1.67 |================================================================= B . 1.77 |===================================================================== C . 1.72 |=================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression MP/s > Higher Is Better A . 4.15 |=================================================================== B . 4.29 |===================================================================== C . 4.16 |=================================================================== WebP Image Encode 1.2.4 Encode Settings: Quality 100, Lossless, Highest Compression MP/s > Higher Is Better A . 0.67 |==================================================================== B . 0.68 |===================================================================== C . 0.68 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better A . 7.82 |==================================================================== B . 7.76 |=================================================================== C . 7.96 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better A . 0.15 |===================================================================== B . 0.15 |===================================================================== C . 0.15 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better A . 0.07 |===================================================================== B . 0.07 |===================================================================== C . 0.07 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better A . 4.22 |===================================================================== B . 4.22 |===================================================================== C . 4.20 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better A . 0.02 |===================================================================== B . 0.02 |===================================================================== C . 0.02 |===================================================================== ASTC Encoder 4.0 Preset: Fast MT/s > Higher Is Better A . 189.67 |=================================================================== B . 188.99 |=================================================================== C . 189.24 |=================================================================== ASTC Encoder 4.0 Preset: Medium MT/s > Higher Is Better A . 70.08 |==================================================================== B . 69.90 |==================================================================== C . 69.81 |==================================================================== ASTC Encoder 4.0 Preset: Thorough MT/s > Higher Is Better A . 8.8884 |=================================================================== B . 8.8660 |=================================================================== C . 8.8774 |=================================================================== ASTC Encoder 4.0 Preset: Exhaustive MT/s > Higher Is Better A . 0.9060 |=================================================================== B . 0.9070 |=================================================================== C . 0.9065 |=================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: 20k Atoms ns/day > Higher Is Better A . 8.315 |==================================================================== B . 8.319 |==================================================================== C . 8.334 |==================================================================== LAMMPS Molecular Dynamics Simulator 23Jun2022 Model: Rhodopsin Protein ns/day > Higher Is Better A . 8.795 |==================================================================== B . 8.743 |==================================================================== C . 8.712 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Fill Op/s > Higher Is Better A . 935613 |=================================================================== B . 923849 |================================================================== C . 929842 |=================================================================== Facebook RocksDB 7.5.3 Test: Random Read Op/s > Higher Is Better A . 59319094 |================================================================= B . 58967055 |================================================================= C . 59382800 |================================================================= Facebook RocksDB 7.5.3 Test: Update Random Op/s > Higher Is Better A . 532504 |=================================================================== B . 531028 |=================================================================== C . 529808 |=================================================================== Facebook RocksDB 7.5.3 Test: Sequential Fill Op/s > Higher Is Better A . 1328728 |================================================================== B . 1317593 |================================================================= C . 1294753 |================================================================ Facebook RocksDB 7.5.3 Test: Random Fill Sync Op/s > Higher Is Better A . 3083 |===================================================================== B . 2997 |=================================================================== C . 2991 |=================================================================== Facebook RocksDB 7.5.3 Test: Read While Writing Op/s > Higher Is Better A . 2526988 |================================================================ B . 2479413 |=============================================================== C . 2595321 |================================================================== Facebook RocksDB 7.5.3 Test: Read Random Write Random Op/s > Higher Is Better A . 2004687 |================================================================== B . 2010319 |================================================================== C . 2018648 |================================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 3557458.82 |=============================================================== B . 3569362.46 |=============================================================== C . 3559519.92 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 3874142.20 |============================================================== B . 3872125.65 |============================================================== C . 3931937.39 |=============================================================== Dragonflydb 0.6 Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 3540676.35 |=============================================================== B . 3451455.31 |============================================================= C . 3544440.03 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 3443623.05 |============================================================== B . 3472844.58 |=============================================================== C . 3467573.22 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 3648471.05 |============================================================== B . 3695033.82 |=============================================================== C . 3680126.34 |=============================================================== Dragonflydb 0.6 Clients: 200 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 3356941.32 |=============================================================== B . 3381977.87 |=============================================================== C . 3361979.08 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2315600.28 |=============================================================== B . 2159374.65 |=========================================================== C . 2118152.56 |========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2487735.48 |=============================================================== B . 2340702.99 |=========================================================== C . 2319743.01 |=========================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2106588.65 |=============================================================== B . 2037235.73 |============================================================= C . 2057755.24 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2165194.12 |============================================================== B . 2147215.10 |============================================================= C . 2209969.44 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2390359.33 |=============================================================== B . 2386648.26 |=============================================================== C . 2312114.42 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 2090339.93 |=============================================================== B . 2050935.60 |============================================================== C . 2013444.96 |============================================================= memtier_benchmark 1.4 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2385409.71 |============================================================== B . 2328899.18 |============================================================ C . 2432589.27 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better A . 2055682.63 |=============================================================== B . 2047918.95 |=============================================================== C . 2035828.74 |============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better A . 2214943.98 |=============================================================== B . 2197972.69 |=============================================================== C . 2210565.02 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 Ops/sec > Higher Is Better A . 1984638.84 |=============================================================== B . 1889111.61 |============================================================ C . 1884511.63 |============================================================ memtier_benchmark 1.4 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2352766.68 |============================================================= B . 2350756.59 |============================================================= C . 2437747.16 |=============================================================== memtier_benchmark 1.4 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better A . 2201386.87 |============================================================= B . 2258543.60 |=============================================================== C . 2265720.82 |=============================================================== ClickHouse 22.5.4.19 Queries Per Minute, Geo Mean > Higher Is Better Redis 7.0.4 Test: GET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 3743142.50 |=============================================================== B . 3083190.50 |==================================================== C . 3257175.25 |======================================================= Redis 7.0.4 Test: SET - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2205403.0 |====================================================== B . 2520079.5 |============================================================== C . 2592197.5 |================================================================ Redis 7.0.4 Test: GET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 3254207.5 |================================================================ B . 3249343.5 |=============================================================== C . 3276813.5 |================================================================ Redis 7.0.4 Test: LPOP - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 3791106.0 |================================================================ B . 2290782.0 |======================================= C . 2412006.5 |========================================= Redis 7.0.4 Test: SADD - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 3083239.75 |=============================================================== B . 3061904.25 |=============================================================== C . 2888509.75 |=========================================================== Redis 7.0.4 Test: SET - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2614562.5 |=============================================================== B . 2657219.5 |================================================================ C . 2669562.0 |================================================================ Redis 7.0.4 Test: GET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2951298.50 |============================================================ B . 3040677.25 |============================================================== C . 3087428.00 |=============================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 3045863.50 |=============================================================== B . 2310577.50 |================================================ C . 2362879.75 |================================================= Redis 7.0.4 Test: LPUSH - Parallel Connections: 50 Requests Per Second > Higher Is Better A . 2108674.75 |============================================================= B . 2137795.50 |============================================================== C . 2179923.00 |=============================================================== Redis 7.0.4 Test: SADD - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2894240.50 |============================================================= B . 2975358.25 |=============================================================== C . 2962262.50 |=============================================================== Redis 7.0.4 Test: SET - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2572459.50 |============================================================= B . 2666572.25 |=============================================================== C . 2154450.50 |=================================================== Redis 7.0.4 Test: LPOP - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2334136.0 |================================================================ B . 2284648.5 |=============================================================== C . 2261308.5 |============================================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 500 Requests Per Second > Higher Is Better A . 2284293.25 |=============================================================== B . 2090813.00 |========================================================= C . 2294461.00 |=============================================================== Redis 7.0.4 Test: SADD - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 3040307.50 |=============================================================== B . 2896459.75 |============================================================ C . 3007572.75 |============================================================== Redis 7.0.4 Test: LPUSH - Parallel Connections: 1000 Requests Per Second > Higher Is Better A . 2122063.75 |========================================================= B . 2104210.00 |======================================================== C . 2359818.50 |=============================================================== etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 100 Requests/sec > Higher Is Better A . 24785.51 |================================================================= B . 15015.07 |======================================= C . 14425.22 |====================================== etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 Requests/sec > Higher Is Better A . 24088.00 |================================================================= B . 14338.31 |======================================= C . 14207.54 |====================================== etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 1000 Requests/sec > Higher Is Better A . 64293.90 |================================================================= B . 54272.57 |======================================================= C . 56192.64 |========================================================= etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 Requests/sec > Higher Is Better A . 23854.11 |================================================================= B . 14339.00 |======================================= C . 14014.68 |====================================== etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 Requests/sec > Higher Is Better A . 64556.95 |================================================================= B . 54679.20 |======================================================= C . 54268.93 |======================================================= etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 Requests/sec > Higher Is Better A . 61394.79 |================================================================= B . 53045.63 |======================================================== C . 49519.40 |==================================================== etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 100 Requests/sec > Higher Is Better A . 24857.04 |================================================================= B . 14619.18 |====================================== C . 14095.27 |===================================== etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 Requests/sec > Higher Is Better A . 24002.73 |================================================================= B . 14290.67 |======================================= C . 13959.61 |====================================== etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 1000 Requests/sec > Higher Is Better A . 68621.36 |================================================================= B . 53175.81 |================================================== C . 52930.94 |================================================== etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 Requests/sec > Higher Is Better A . 23838.90 |================================================================= B . 14226.05 |======================================= C . 14013.88 |====================================== etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 Requests/sec > Higher Is Better A . 65889.33 |================================================================= B . 54127.50 |===================================================== C . 53181.64 |==================================================== etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 Requests/sec > Higher Is Better A . 63514.43 |================================================================= B . 48771.50 |================================================== C . 49119.61 |================================================== Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better A . 13.95 |==================================================================== B . 14.02 |==================================================================== C . 13.48 |================================================================= srsRAN 22.04.1 Test: OFDM_Test Samples / Second > Higher Is Better A . 131000000 |=============================================================== B . 132500000 |=============================================================== C . 133800000 |================================================================ AI Benchmark Alpha 0.1.2 Score > Higher Is Better srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM UE Mb/s > Higher Is Better A . 138.3 |=================================================================== B . 139.0 |=================================================================== C . 140.3 |==================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 170.3 |================================================================== B . 174.7 |==================================================================== C . 171.7 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM UE Mb/s > Higher Is Better A . 152.7 |==================================================================== B . 151.1 |=================================================================== C . 150.9 |=================================================================== srsRAN 22.04.1 Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM UE Mb/s > Higher Is Better A . 177.6 |=================================================================== B . 180.8 |==================================================================== C . 180.6 |==================================================================== srsRAN 22.04.1 Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM UE Mb/s > Higher Is Better A . 68.1 |===================================================================== B . 68.0 |===================================================================== C . 68.1 |===================================================================== BRL-CAD 7.32.6 VGR Performance Metric VGR Performance Metric > Higher Is Better A . 190880 |=================================================================== B . 191267 |=================================================================== C . 190428 |=================================================================== etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.0 |========================================= B . 6.7 |==================================================================== C . 6.9 |====================================================================== etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.1 |========================================= B . 7.0 |====================================================================== C . 7.0 |====================================================================== etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 1000 - Average Latency ms < Lower Is Better A . 15.5 |========================================================== B . 18.4 |===================================================================== C . 17.8 |=================================================================== etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.2 |========================================= B . 7.0 |===================================================================== C . 7.1 |====================================================================== etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency ms < Lower Is Better A . 15.5 |========================================================== B . 18.3 |===================================================================== C . 18.4 |===================================================================== etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency ms < Lower Is Better A . 16.3 |======================================================== B . 18.8 |================================================================ C . 20.2 |===================================================================== etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.0 |======================================= B . 6.8 |=================================================================== C . 7.1 |====================================================================== etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.2 |========================================= B . 7.0 |==================================================================== C . 7.2 |====================================================================== etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency ms < Lower Is Better A . 14.6 |===================================================== B . 18.8 |===================================================================== C . 18.9 |===================================================================== etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency ms < Lower Is Better A . 4.2 |========================================= B . 7.0 |===================================================================== C . 7.1 |====================================================================== etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency ms < Lower Is Better A . 15.2 |======================================================== B . 18.5 |==================================================================== C . 18.8 |===================================================================== etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency ms < Lower Is Better A . 15.7 |===================================================== B . 20.5 |===================================================================== C . 20.3 |==================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 9.717 |==================================================================== B . 8.864 |============================================================== C . 8.923 |============================================================== Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.385 |========================================================= B . 1.387 |========================================================= C . 1.642 |==================================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 2.754 |==================================================================== B . 2.726 |=================================================================== C . 2.771 |==================================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 28.03 |==================================================================== B . 28.13 |==================================================================== C . 27.71 |=================================================================== Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.243 |=================================================================== B . 4.300 |==================================================================== C . 4.258 |=================================================================== Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 2.620 |============================================================= B . 2.636 |============================================================= C . 2.925 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 3.335 |==================================================================== B . 3.206 |================================================================= C . 3.224 |================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 27.46 |==================================================================== B . 26.30 |================================================================= C . 27.47 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 13.27 |==================================================================== B . 13.20 |==================================================================== C . 13.15 |=================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 3.84 |================================================================ B . 3.89 |================================================================= C . 4.15 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.88 |==================================================================== B . 2.91 |===================================================================== C . 2.91 |===================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.92 |================================================================== B . 2.92 |================================================================== C . 3.05 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 2.87 |==================================================================== B . 2.84 |==================================================================== C . 2.90 |===================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.27 |==================================================================== B . 5.34 |===================================================================== C . 5.27 |==================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 1.02 |===================================================================== B . 1.01 |==================================================================== C . 0.98 |================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 11.03 |================================================================== B . 11.02 |================================================================== C . 11.32 |==================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 51.26 |==================================================================== B . 51.35 |==================================================================== C . 51.29 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 9.67 |===================================================================== B . 9.63 |===================================================================== C . 9.60 |===================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 7.33 |===================================================================== B . 7.35 |===================================================================== C . 7.35 |===================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 17.39 |==================================================================== B . 17.42 |==================================================================== C . 17.47 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 21.07 |==================================================================== B . 21.04 |==================================================================== C . 21.19 |==================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 15.85 |==================================================================== B . 15.86 |==================================================================== C . 15.95 |==================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 8.77 |===================================================================== B . 8.63 |=================================================================== C . 8.83 |===================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 153.09 |=================================================================== B . 152.88 |=================================================================== C . 152.36 |=================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 3.70 |================================================================== B . 3.63 |================================================================ C . 3.89 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 8.22 |===================================================================== B . 8.21 |===================================================================== C . 8.20 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 2.06 |==================================================================== B . 2.06 |==================================================================== C . 2.08 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.45 |===================================================================== B . 2.44 |==================================================================== C . 2.46 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 1.82 |===================================================================== B . 1.81 |===================================================================== C . 1.82 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 2.14 |===================================================================== B . 2.15 |===================================================================== C . 2.14 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 6.64 |===================================================================== B . 6.66 |===================================================================== C . 6.66 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.39 |==================================================================== B . 1.40 |===================================================================== C . 1.41 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 4.52 |==================================================================== B . 4.54 |==================================================================== C . 4.60 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 12.00 |==================================================================== B . 11.99 |==================================================================== C . 11.98 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 2.82 |===================================================================== B . 2.84 |===================================================================== C . 2.83 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 3.00 |===================================================================== B . 2.98 |===================================================================== C . 3.00 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 6.40 |===================================================================== B . 6.39 |===================================================================== C . 6.38 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 11.39 |==================================================================== B . 11.34 |==================================================================== C . 11.34 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 4.34 |===================================================================== B . 4.32 |===================================================================== C . 4.31 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 3.49 |===================================================================== B . 3.50 |===================================================================== C . 3.51 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 182.68 |=================================================================== B . 182.06 |=================================================================== C . 182.49 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 2.05 |===================================================================== B . 2.01 |==================================================================== C . 1.99 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 1545.43 |================================================================== B . 1549.54 |================================================================== C . 1538.69 |================================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 2672.78 |================================================================== B . 2664.55 |================================================================== C . 2626.33 |================================================================= OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 2655.12 |================================================================== B . 2642.16 |================================================================== C . 2605.10 |================================================================= OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 37.06 |==================================================================== B . 36.84 |==================================================================== C . 36.74 |=================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 715.71 |=================================================================== B . 713.50 |=================================================================== C . 711.86 |=================================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 11.69 |================================================================== B . 11.84 |=================================================================== C . 12.06 |==================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 15.44 |==================================================================== B . 15.46 |==================================================================== C . 15.51 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 158.21 |=================================================================== B . 156.47 |================================================================== C . 158.28 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 14.08 |==================================================================== B . 14.07 |==================================================================== C . 14.09 |==================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 17.59 |==================================================================== B . 17.43 |=================================================================== C . 17.21 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 0.95 |===================================================================== B . 0.95 |===================================================================== C . 0.95 |===================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.54 |===================================================================== B . 0.54 |===================================================================== C . 0.54 |===================================================================== Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz Seconds < Lower Is Better A . 6.367 |==================================================================== B . 6.253 |=================================================================== C . 6.249 |=================================================================== Timed MPlayer Compilation 1.5 Time To Compile Seconds < Lower Is Better A . 30.13 |==================================================================== B . 29.97 |==================================================================== C . 30.12 |==================================================================== Timed Node.js Compilation 18.8 Time To Compile Seconds < Lower Is Better A . 549.99 |=================================================================== B . 549.30 |=================================================================== C . 548.90 |=================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Default Seconds < Lower Is Better A . 17.29 |==================================================================== B . 17.18 |==================================================================== C . 17.28 |==================================================================== Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized Seconds < Lower Is Better A . 243.60 |=================================================================== B . 242.06 |================================================================== C . 244.83 |=================================================================== Primesieve 8.0 Length: 1e12 Seconds < Lower Is Better A . 16.76 |=================================================================== B . 17.11 |==================================================================== C . 16.96 |=================================================================== Primesieve 8.0 Length: 1e13 Seconds < Lower Is Better A . 213.61 |================================================================== B . 215.65 |================================================================== C . 217.73 |=================================================================== Timed Erlang/OTP Compilation 25.0 Time To Compile Seconds < Lower Is Better A . 81.58 |==================================================================== B . 81.64 |==================================================================== C . 81.94 |==================================================================== Timed Wasmer Compilation 2.3 Time To Compile Seconds < Lower Is Better A . 57.71 |=================================================================== B . 57.30 |=================================================================== C . 58.14 |==================================================================== FLAC Audio Encoding 1.4 WAV To FLAC Seconds < Lower Is Better A . 14.31 |==================================================================== B . 14.21 |=================================================================== C . 14.39 |==================================================================== Blender 3.3 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better A . 111.20 |=================================================================== B . 110.92 |=================================================================== C . 110.20 |================================================================== Blender 3.3 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better A . 323.06 |================================================================== B . 326.46 |=================================================================== C . 321.96 |================================================================== Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better A . 151.86 |=================================================================== B . 151.91 |=================================================================== C . 151.20 |=================================================================== Blender 3.3 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better A . 1255.64 |================================================================= B . 1257.94 |================================================================== C . 1266.19 |================================================================== Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better A . 401.40 |=================================================================== B . 401.90 |=================================================================== C . 399.08 |===================================================================