fhe AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080 DaCapo Benchmark 23.11 Java Test: Apache Xalan XSLT msec < Lower Is Better a . 1471 |===================================================================== b . 1296 |============================================================= c . 1305 |============================================================= oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 10.61 |============================================================ b . 11.82 |=================================================================== c . 11.94 |==================================================================== Stress-NG 0.16.04 Test: Semaphores Bogo Ops/s > Higher Is Better a . 12140043.03 |============================================================== b . 11087929.70 |========================================================= c . 11469661.56 |=========================================================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.11 |=============================================================== b . 0.12 |===================================================================== c . 0.12 |===================================================================== DaCapo Benchmark 23.11 Java Test: PMD Source Code Analyzer msec < Lower Is Better a . 3180 |=============================================================== b . 3456 |===================================================================== c . 3327 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Engine msec < Lower Is Better a . 4925 |================================================================ b . 4937 |================================================================ c . 5314 |===================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better a . 7.1256 |============================================================== b . 7.5922 |================================================================== c . 7.6511 |=================================================================== DaCapo Benchmark 23.11 Java Test: Tradesoap msec < Lower Is Better a . 11662 |================================================================ b . 11474 |=============================================================== c . 12316 |==================================================================== DaCapo Benchmark 23.11 Java Test: FOP Print Formatter msec < Lower Is Better a . 1056 |===================================================================== b . 1040 |==================================================================== c . 985 |================================================================ Stress-NG 0.16.04 Test: Fused Multiply-Add Bogo Ops/s > Higher Is Better a . 5581744.40 |=========================================================== b . 5561152.60 |=========================================================== c . 5947777.71 |=============================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.10 |================================================================ b . 11.67 |=================================================================== c . 11.84 |==================================================================== Java SciMark 2.2 Computational Test: Fast Fourier Transform Mflops > Higher Is Better a . 236.10 |=============================================================== b . 251.73 |=================================================================== c . 247.29 |================================================================== Cpuminer-Opt 23.5 Algorithm: Ringcoin kH/s > Higher Is Better a . 809.38 |=============================================================== b . 857.49 |=================================================================== c . 815.83 |================================================================ Cpuminer-Opt 23.5 Algorithm: Myriad-Groestl kH/s > Higher Is Better a . 2685.02 |=============================================================== b . 2827.68 |================================================================== c . 2704.56 |=============================================================== DaCapo Benchmark 23.11 Java Test: Batik SVG Toolkit msec < Lower Is Better a . 1656 |===================================================================== b . 1577 |================================================================== c . 1603 |=================================================================== DaCapo Benchmark 23.11 Java Test: Zxing 1D/2D Barcode Image Processing msec < Lower Is Better a . 2241 |================================================================== b . 2343 |===================================================================== c . 2255 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 8.54 |================================================================== b . 8.56 |================================================================== c . 8.92 |===================================================================== Stress-NG 0.16.04 Test: Futex Bogo Ops/s > Higher Is Better a . 2056701.46 |============================================================ b . 2147335.67 |=============================================================== c . 2102668.91 |============================================================== Java SciMark 2.2 Computational Test: Monte Carlo Mflops > Higher Is Better a . 1535.01 |================================================================ b . 1593.68 |================================================================== c . 1530.09 |=============================================================== Stress-NG 0.16.04 Test: Pipe Bogo Ops/s > Higher Is Better a . 3369398.60 |============================================================= b . 3503830.27 |=============================================================== c . 3501532.41 |=============================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 4.34 |=================================================================== b . 4.50 |===================================================================== c . 4.46 |==================================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.43 |=================================================================== b . 1.42 |=================================================================== c . 1.47 |===================================================================== DaCapo Benchmark 23.11 Java Test: H2O In-Memory Platform For Machine Learning msec < Lower Is Better a . 5898 |=================================================================== b . 6000 |==================================================================== c . 6103 |===================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 12.07 |==================================================================== b . 11.93 |=================================================================== c . 11.70 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Lucene Search Index msec < Lower Is Better a . 5266 |===================================================================== b . 5113 |=================================================================== c . 5225 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 262.02 |================================================================== b . 265.76 |=================================================================== c . 258.68 |================================================================= Stress-NG 0.16.04 Test: NUMA Bogo Ops/s > Higher Is Better a . 107.83 |================================================================= b . 110.72 |=================================================================== c . 108.96 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 20.28 |================================================================== b . 20.72 |==================================================================== c . 20.82 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 22.07 |==================================================================== b . 21.52 |================================================================== c . 21.87 |=================================================================== Stress-NG 0.16.04 Test: Mixed Scheduler Bogo Ops/s > Higher Is Better a . 5998.56 |================================================================ b . 6043.57 |================================================================= c . 6149.71 |================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.8211 |================================================================= b . 4.8971 |================================================================== c . 4.9405 |=================================================================== Stress-NG 0.16.04 Test: CPU Stress Bogo Ops/s > Higher Is Better a . 13802.28 |================================================================= b . 13473.64 |=============================================================== c . 13732.88 |================================================================= NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 5.84 |=================================================================== b . 5.98 |===================================================================== c . 5.98 |===================================================================== Stress-NG 0.16.04 Test: Wide Vector Math Bogo Ops/s > Higher Is Better a . 246414.84 |================================================================ b . 240673.83 |=============================================================== c . 241097.03 |=============================================================== C-Blosc 2.11 Test: blosclz bitshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 7005.6 |================================================================== b . 6985.0 |================================================================= c . 7147.0 |=================================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Geometric Mean Of All Queries Seconds < Lower Is Better a . 2.40013873 |============================================================== b . 2.43833726 |=============================================================== c . 2.38360943 |============================================================== Stress-NG 0.16.04 Test: CPU Cache Bogo Ops/s > Higher Is Better a . 1567966.45 |=============================================================== b . 1533029.06 |============================================================== c . 1539578.22 |============================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 4.51 |===================================================================== b . 4.53 |===================================================================== c . 4.43 |=================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 5.01 |==================================================================== b . 5.02 |==================================================================== c . 5.12 |===================================================================== DaCapo Benchmark 23.11 Java Test: Jython msec < Lower Is Better a . 6988 |===================================================================== b . 6838 |==================================================================== c . 6895 |==================================================================== Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better a . 3008.93 |================================================================== b . 2980.35 |================================================================= c . 2945.78 |================================================================= DaCapo Benchmark 23.11 Java Test: H2 Database Engine msec < Lower Is Better a . 5448 |==================================================================== b . 5525 |===================================================================== c . 5563 |===================================================================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a . 203.69 |=================================================================== b . 203.23 |=================================================================== c . 199.58 |================================================================== DaCapo Benchmark 23.11 Java Test: Tradebeans msec < Lower Is Better a . 14871 |==================================================================== b . 14598 |=================================================================== c . 14898 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 15.40 |==================================================================== b . 15.27 |=================================================================== c . 15.09 |=================================================================== Xmrig 6.21 Variant: Wownero - Hash Count: 1M H/s > Higher Is Better a . 2532.3 |================================================================== b . 2513.9 |================================================================== c . 2564.5 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 56.36 |=================================================================== b . 56.78 |==================================================================== c . 55.67 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 70.91 |=================================================================== b . 70.38 |=================================================================== c . 71.78 |==================================================================== NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 4.60 |==================================================================== b . 4.68 |===================================================================== c . 4.69 |===================================================================== Stress-NG 0.16.04 Test: Glibc C String Functions Bogo Ops/s > Higher Is Better a . 5307606.72 |============================================================== b . 5411002.92 |=============================================================== c . 5317094.00 |============================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1762546.44 |=============================================================== b . 1729895.56 |============================================================== c . 1743565.71 |============================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better a . 19.02 |=================================================================== b . 18.97 |=================================================================== c . 19.31 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better a . 56 |======================================================================= b . 55 |====================================================================== c . 56 |======================================================================= OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 115.05 |=================================================================== b . 113.32 |================================================================== c . 113.00 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 52.13 |=================================================================== b . 52.91 |==================================================================== c . 53.07 |==================================================================== Stress-NG 0.16.04 Test: SENDFILE Bogo Ops/s > Higher Is Better a . 97345.17 |================================================================ b . 99090.80 |================================================================= c . 98736.21 |================================================================= Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1749374.05 |=============================================================== b . 1719244.18 |============================================================== c . 1735403.81 |============================================================== DaCapo Benchmark 23.11 Java Test: Eclipse msec < Lower Is Better a . 14465 |=================================================================== b . 14540 |=================================================================== c . 14716 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 25.73 |=================================================================== b . 26.13 |==================================================================== c . 25.69 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 11.74 |=================================================================== b . 11.94 |==================================================================== c . 11.82 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 616.60 |=================================================================== b . 611.92 |================================================================== c . 606.38 |================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 28.72 |=================================================================== b . 28.82 |=================================================================== c . 29.20 |==================================================================== C-Blosc 2.11 Test: blosclz shuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 7200.8 |================================================================== b . 7309.5 |=================================================================== c . 7320.8 |=================================================================== Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1746685.71 |============================================================== b . 1734539.88 |============================================================== c . 1763427.67 |=============================================================== Stress-NG 0.16.04 Test: Vector Floating Point Bogo Ops/s > Higher Is Better a . 16476.30 |================================================================= b . 16206.61 |================================================================ c . 16263.83 |================================================================ Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 116.57 |=================================================================== b . 114.78 |================================================================== c . 116.68 |=================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 139.15 |=================================================================== b . 138.63 |=================================================================== c . 136.89 |================================================================== Java SciMark 2.2 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better a . 2151.26 |================================================================== b . 2117.34 |================================================================= c . 2122.28 |================================================================= NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 4.56 |===================================================================== b . 4.49 |==================================================================== c . 4.51 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better a . 6.2661 |=================================================================== b . 6.1701 |================================================================== c . 6.2381 |=================================================================== OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a . 1282.01 |================================================================= b . 1293.89 |================================================================== c . 1274.10 |================================================================= VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 7.895 |==================================================================== b . 7.793 |=================================================================== c . 7.909 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 4919.46 |================================================================= b . 4992.20 |================================================================== c . 4942.11 |================================================================= Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better a . 5.5717 |================================================================== b . 5.6423 |=================================================================== c . 5.6536 |=================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 11.28 |=================================================================== b . 11.45 |==================================================================== c . 11.41 |==================================================================== DaCapo Benchmark 23.11 Java Test: Apache Cassandra msec < Lower Is Better a . 9689 |===================================================================== b . 9610 |==================================================================== c . 9550 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.47 |==================================================================== b . 3.52 |===================================================================== c . 3.48 |==================================================================== DaCapo Benchmark 23.11 Java Test: GraphChi msec < Lower Is Better a . 4536 |===================================================================== b . 4492 |==================================================================== c . 4472 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 12.06 |==================================================================== b . 11.91 |=================================================================== c . 11.89 |=================================================================== Stress-NG 0.16.04 Test: Pthread Bogo Ops/s > Higher Is Better a . 87982.48 |================================================================ b . 88920.64 |================================================================= c . 89239.52 |================================================================= NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 8.56 |===================================================================== b . 8.44 |==================================================================== c . 8.48 |==================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Live FPS > Higher Is Better a . 59.71 |==================================================================== b . 59.30 |=================================================================== c . 60.13 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 15.39 |==================================================================== b . 15.28 |=================================================================== c . 15.49 |==================================================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a . 563.89 |=================================================================== b . 563.74 |=================================================================== c . 556.31 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 16.33 |=================================================================== b . 16.29 |=================================================================== c . 16.51 |==================================================================== NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 152.52 |=================================================================== b . 151.15 |================================================================== c . 150.53 |================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 4.59 |==================================================================== b . 4.62 |===================================================================== c . 4.65 |===================================================================== Stress-NG 0.16.04 Test: AVL Tree Bogo Ops/s > Higher Is Better a . 36.20 |=================================================================== b . 36.13 |=================================================================== c . 36.60 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 152.59 |=================================================================== b . 150.73 |================================================================== c . 150.67 |================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 4.944 |=================================================================== b . 4.981 |==================================================================== c . 5.007 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 210.85 |================================================================== b . 212.37 |=================================================================== c . 213.51 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 2292.52 |================================================================== b . 2273.39 |================================================================= c . 2301.99 |================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.5966 |=================================================================== b . 4.5404 |================================================================== c . 4.5764 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 28.38 |=================================================================== b . 28.65 |==================================================================== c . 28.73 |==================================================================== Xmrig 6.21 Variant: KawPow - Hash Count: 1M H/s > Higher Is Better a . 1705.2 |================================================================== b . 1726.1 |=================================================================== c . 1725.8 |=================================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 32.39 |==================================================================== b . 32.00 |=================================================================== c . 32.21 |==================================================================== Cpuminer-Opt 23.5 Algorithm: scrypt kH/s > Higher Is Better a . 54.02 |=================================================================== b . 54.30 |==================================================================== c . 54.67 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better a . 7.0973 |================================================================== b . 7.1178 |================================================================== c . 7.1822 |=================================================================== Xmrig 6.21 Variant: Monero - Hash Count: 1M H/s > Higher Is Better a . 1706.3 |================================================================== b . 1726.7 |=================================================================== c . 1724.1 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 5.10 |===================================================================== b . 5.11 |===================================================================== c . 5.05 |==================================================================== CloverLeaf 1.3 Input: clover_bm Seconds < Lower Is Better a . 189.24 |=================================================================== b . 187.02 |================================================================== c . 188.40 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 9.52 |==================================================================== b . 9.63 |===================================================================== c . 9.54 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.52 |===================================================================== b . 3.48 |==================================================================== c . 3.50 |===================================================================== DaCapo Benchmark 23.11 Java Test: Spring Boot msec < Lower Is Better a . 4080 |===================================================================== b . 4069 |===================================================================== c . 4034 |==================================================================== Stress-NG 0.16.04 Test: Memory Copying Bogo Ops/s > Higher Is Better a . 1903.46 |================================================================== b . 1882.01 |================================================================= c . 1897.68 |================================================================== Java SciMark 2.2 Computational Test: Composite Mflops > Higher Is Better a . 1725.88 |================================================================== b . 1727.95 |================================================================== c . 1708.61 |================================================================= OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 15.03 |=================================================================== b . 15.20 |==================================================================== c . 15.14 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 265.83 |=================================================================== b . 262.86 |================================================================== c . 264.07 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 11.87 |==================================================================== b . 11.80 |=================================================================== c . 11.93 |==================================================================== Stress-NG 0.16.04 Test: MMAP Bogo Ops/s > Higher Is Better a . 108.29 |=================================================================== b . 107.12 |================================================================== c . 107.46 |================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 322.17 |=================================================================== b . 318.72 |================================================================== c . 320.06 |=================================================================== Stress-NG 0.16.04 Test: MEMFD Bogo Ops/s > Higher Is Better a . 260.26 |=================================================================== b . 258.68 |=================================================================== c . 257.48 |================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 9.2883 |================================================================== b . 9.3884 |=================================================================== c . 9.3491 |=================================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 8.88666 |================================================================= b . 8.88002 |================================================================= c . 8.97203 |================================================================== Stress-NG 0.16.04 Test: Floating Point Bogo Ops/s > Higher Is Better a . 1929.23 |================================================================= b . 1936.01 |================================================================== c . 1949.12 |================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 49.86 |=================================================================== b . 49.72 |=================================================================== c . 50.23 |==================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 5.91 |===================================================================== b . 5.90 |===================================================================== c . 5.85 |==================================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a . 7.764 |==================================================================== b . 7.761 |==================================================================== c . 7.686 |=================================================================== OpenVINO 2023.2.dev Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 120.25 |=================================================================== b . 120.56 |=================================================================== c . 119.36 |================================================================== CloverLeaf 1.3 Input: clover_bm64_short Seconds < Lower Is Better a . 357.59 |=================================================================== b . 354.08 |================================================================== c . 354.29 |================================================================== Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M H/s > Higher Is Better a . 1708.3 |================================================================== b . 1725.2 |=================================================================== c . 1724.4 |=================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better a . 103 |===================================================================== b . 104 |====================================================================== c . 104 |====================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 116.54 |================================================================== b . 117.59 |=================================================================== c . 117.67 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.19 |==================================================================== b . 5.24 |===================================================================== c . 5.20 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.24 |===================================================================== b . 5.20 |==================================================================== c . 5.25 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Default MP/s > Higher Is Better a . 4.21 |===================================================================== b . 4.20 |==================================================================== c . 4.24 |===================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 56.83 |=================================================================== b . 57.36 |==================================================================== c . 56.92 |=================================================================== Stress-NG 0.16.04 Test: Context Switching Bogo Ops/s > Higher Is Better a . 2044079.46 |=============================================================== b . 2025241.43 |============================================================== c . 2036534.78 |=============================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 25.72 |==================================================================== b . 25.51 |=================================================================== c . 25.48 |=================================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 16.22 |=================================================================== b . 16.34 |==================================================================== c . 16.37 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 518.30 |=================================================================== b . 521.42 |=================================================================== c . 516.65 |================================================================== Blender 4.0 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 352.65 |=================================================================== b . 353.84 |=================================================================== c . 350.61 |================================================================== libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a . 253.54 |=================================================================== b . 252.63 |=================================================================== c . 251.24 |================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 28.30 |=================================================================== b . 28.47 |==================================================================== c . 28.56 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 105.84 |=================================================================== b . 105.21 |=================================================================== c . 104.88 |================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 2.326 |==================================================================== b . 2.307 |=================================================================== c . 2.328 |==================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 52.75 |==================================================================== b . 52.28 |=================================================================== c . 52.68 |==================================================================== Timed Gem5 Compilation 23.0.1 Time To Compile Seconds < Lower Is Better a . 1036.06 |================================================================= b . 1044.61 |================================================================== c . 1035.73 |================================================================= FFmpeg 6.1 Encoder: libx264 - Scenario: Live FPS > Higher Is Better a . 166.56 |=================================================================== b . 165.23 |================================================================== c . 165.15 |================================================================== SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 7.407 |=================================================================== b . 7.466 |==================================================================== c . 7.470 |==================================================================== Stress-NG 0.16.04 Test: Matrix 3D Math Bogo Ops/s > Higher Is Better a . 655.73 |=================================================================== b . 652.40 |=================================================================== c . 650.20 |================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 1.19 |===================================================================== b . 1.18 |==================================================================== c . 1.19 |===================================================================== libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a . 18.16 |==================================================================== b . 18.11 |==================================================================== c . 18.02 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 23.52 |==================================================================== b . 23.40 |=================================================================== c . 23.59 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 42.50 |==================================================================== b . 42.72 |==================================================================== c . 42.38 |=================================================================== Stress-NG 0.16.04 Test: Vector Math Bogo Ops/s > Higher Is Better a . 38176.43 |================================================================= b . 37936.85 |================================================================ c . 38241.24 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 8.78 |===================================================================== b . 8.82 |===================================================================== c . 8.75 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 5.20 |==================================================================== b . 5.24 |===================================================================== c . 5.23 |===================================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 9.18 |===================================================================== b . 9.11 |==================================================================== c . 9.17 |===================================================================== Stress-NG 0.16.04 Test: IO_uring Bogo Ops/s > Higher Is Better a . 154334.52 |================================================================ b . 154554.50 |================================================================ c . 155512.74 |================================================================ NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 11.89 |==================================================================== b . 11.80 |=================================================================== c . 11.81 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 4 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 1.992 |=================================================================== b . 1.999 |==================================================================== c . 2.007 |==================================================================== Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M H/s > Higher Is Better a . 1711.3 |=================================================================== b . 1724.0 |=================================================================== c . 1723.8 |=================================================================== Stress-NG 0.16.04 Test: Cloning Bogo Ops/s > Higher Is Better a . 805.43 |=================================================================== b . 800.44 |=================================================================== c . 799.56 |=================================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 9.56 |==================================================================== b . 9.59 |===================================================================== c . 9.63 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 5.51 |===================================================================== b . 5.51 |===================================================================== c . 5.47 |==================================================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a . 116.48 |=================================================================== b . 117.33 |=================================================================== c . 117.28 |=================================================================== Stress-NG 0.16.04 Test: Forking Bogo Ops/s > Higher Is Better a . 24389.05 |================================================================= b . 24288.06 |================================================================= c . 24216.78 |================================================================= Redis 7.0.12 + memtier_benchmark 2.0 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1767574.95 |=============================================================== b . 1762578.30 |=============================================================== c . 1775067.44 |=============================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 226.57 |=================================================================== b . 224.98 |=================================================================== c . 225.15 |=================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7141 |===================================================================== b . 7122 |===================================================================== c . 7091 |===================================================================== Stress-NG 0.16.04 Test: Crypto Bogo Ops/s > Higher Is Better a . 13443.74 |================================================================= b . 13458.67 |================================================================= c . 13364.44 |================================================================= NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 4.31 |===================================================================== b . 4.34 |===================================================================== c . 4.34 |===================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 4.4022 |=================================================================== b . 4.4328 |=================================================================== c . 4.4295 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.46 |===================================================================== b . 1.46 |===================================================================== c . 1.47 |===================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Video On Demand FPS > Higher Is Better a . 25.62 |==================================================================== b . 25.64 |==================================================================== c . 25.79 |==================================================================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a . 343.31 |=================================================================== b . 345.17 |=================================================================== c . 345.57 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Upload FPS > Higher Is Better a . 12.45 |==================================================================== b . 12.44 |==================================================================== c . 12.52 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 5.7560 |=================================================================== b . 5.7259 |=================================================================== c . 5.7625 |=================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 47.89 |==================================================================== b . 47.60 |==================================================================== c . 47.90 |==================================================================== Neural Magic DeepSparse 1.6 Model: ResNet-50, Baseline - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 20.87 |==================================================================== b . 21.00 |==================================================================== c . 20.87 |==================================================================== Stress-NG 0.16.04 Test: Zlib Bogo Ops/s > Higher Is Better a . 714.26 |=================================================================== b . 717.65 |=================================================================== c . 718.75 |=================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 6.1524 |=================================================================== b . 6.1496 |=================================================================== c . 6.1881 |=================================================================== Stress-NG 0.16.04 Test: Matrix Math Bogo Ops/s > Higher Is Better a . 31801.40 |================================================================= b . 31958.65 |================================================================= c . 32000.11 |================================================================= OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 119816 |=================================================================== b . 119397 |=================================================================== c . 119077 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 142.70 |=================================================================== b . 142.37 |=================================================================== c . 143.25 |=================================================================== SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 1080p Frames Per Second > Higher Is Better a . 49.00 |==================================================================== b . 49.30 |==================================================================== c . 49.20 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 31.20 |==================================================================== b . 31.01 |==================================================================== c . 31.03 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 907066 |=================================================================== b . 910737 |=================================================================== c . 905206 |=================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 28.00 |==================================================================== b . 28.07 |==================================================================== c . 27.90 |==================================================================== Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 43060 |==================================================================== b . 42968 |==================================================================== c . 42804 |==================================================================== OpenVINO 2023.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 192.20 |=================================================================== b . 193.34 |=================================================================== c . 193.23 |=================================================================== Timed FFmpeg Compilation 6.1 Time To Compile Seconds < Lower Is Better a . 89.93 |==================================================================== b . 90.47 |==================================================================== c . 90.05 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 5.1875 |=================================================================== b . 5.1603 |=================================================================== c . 5.1904 |=================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 192.76 |=================================================================== b . 193.77 |=================================================================== c . 192.65 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 1.72 |===================================================================== b . 1.73 |===================================================================== c . 1.72 |===================================================================== SVT-AV1 1.8 Encoder Mode: Preset 13 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 58.00 |==================================================================== b . 58.33 |==================================================================== c . 58.09 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 451.52 |=================================================================== b . 452.11 |=================================================================== c . 454.14 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Garlicoin kH/s > Higher Is Better a . 699.76 |=================================================================== b . 698.16 |=================================================================== c . 702.20 |=================================================================== ScyllaDB 5.2.9 Test: Writes Op/s > Higher Is Better a . 48462 |==================================================================== b . 48572 |==================================================================== c . 48293 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.49 |===================================================================== b . 3.47 |===================================================================== c . 3.49 |===================================================================== Blender 4.0 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a . 741.28 |=================================================================== b . 740.03 |=================================================================== c . 737.06 |=================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 8.84 |===================================================================== b . 8.83 |===================================================================== c . 8.79 |===================================================================== DaCapo Benchmark 23.11 Java Test: Avrora AVR Simulation Framework msec < Lower Is Better a . 14953 |==================================================================== b . 15033 |==================================================================== c . 14948 |==================================================================== Cpuminer-Opt 23.5 Algorithm: LBC, LBRY Credits kH/s > Higher Is Better a . 3717.99 |================================================================== b . 3697.25 |================================================================== c . 3704.54 |================================================================== OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a . 457.85 |=================================================================== b . 457.97 |=================================================================== c . 455.42 |=================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.81 |===================================================================== b . 1.80 |===================================================================== c . 1.81 |===================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 649.70 |=================================================================== b . 653.15 |=================================================================== c . 649.57 |=================================================================== Stress-NG 0.16.04 Test: Mutex Bogo Ops/s > Higher Is Better a . 2874216.79 |=============================================================== b . 2878214.99 |=============================================================== c . 2889633.43 |=============================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 274754 |=================================================================== b . 274126 |=================================================================== c . 273323 |=================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 226.50 |=================================================================== b . 227.42 |=================================================================== c . 227.68 |=================================================================== C-Blosc 2.11 Test: blosclz noshuffle - Buffer Size: 8MB MB/s > Higher Is Better a . 5092.9 |=================================================================== b . 5107.4 |=================================================================== c . 5119.1 |=================================================================== Cpuminer-Opt 23.5 Algorithm: Blake-2 S kH/s > Higher Is Better a . 34010 |==================================================================== b . 34100 |==================================================================== c . 34180 |==================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 22.05 |==================================================================== b . 22.16 |==================================================================== c . 22.07 |==================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 MP/s > Higher Is Better a . 2.06 |===================================================================== b . 2.07 |===================================================================== c . 2.07 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 70.93 |==================================================================== b . 71.16 |==================================================================== c . 71.27 |==================================================================== DaCapo Benchmark 23.11 Java Test: BioJava Biological Data Framework msec < Lower Is Better a . 7853 |===================================================================== b . 7820 |===================================================================== c . 7857 |===================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 652.30 |=================================================================== b . 655.30 |=================================================================== c . 653.46 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 236620 |=================================================================== b . 236145 |=================================================================== c . 235545 |=================================================================== OpenVINO 2023.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 17.64 |==================================================================== b . 17.57 |==================================================================== c . 17.56 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 455472 |=================================================================== b . 457540 |=================================================================== c . 456087 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 121353 |=================================================================== b . 121476 |=================================================================== c . 120927 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 3525.96 |================================================================== b . 3516.72 |================================================================== c . 3510.03 |================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 4.5918 |=================================================================== b . 4.5746 |=================================================================== c . 4.5950 |=================================================================== FFmpeg 6.1 Encoder: libx265 - Scenario: Platform FPS > Higher Is Better a . 25.65 |==================================================================== b . 25.64 |==================================================================== c . 25.75 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 34796 |==================================================================== b . 34945 |==================================================================== c . 34885 |==================================================================== Stress-NG 0.16.04 Test: Function Call Bogo Ops/s > Higher Is Better a . 4081.42 |================================================================== b . 4065.44 |================================================================== c . 4082.69 |================================================================== SVT-AV1 1.8 Encoder Mode: Preset 8 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 15.80 |==================================================================== b . 15.85 |==================================================================== c . 15.86 |==================================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 71.21 |==================================================================== b . 71.50 |==================================================================== c . 71.20 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 537531 |=================================================================== b . 539773 |=================================================================== c . 537704 |=================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 465057 |=================================================================== b . 464319 |=================================================================== c . 463290 |=================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 17.20 |==================================================================== b . 17.16 |==================================================================== c . 17.13 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 52.12 |==================================================================== b . 52.27 |==================================================================== c . 52.08 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Video On Demand FPS > Higher Is Better a . 40.93 |==================================================================== b . 40.83 |==================================================================== c . 40.98 |==================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Upload FPS > Higher Is Better a . 10.99 |==================================================================== b . 10.95 |==================================================================== c . 10.96 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 36.48 |==================================================================== b . 36.46 |==================================================================== c . 36.59 |==================================================================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a . 12.42 |==================================================================== b . 12.38 |==================================================================== c . 12.40 |==================================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 28.60 |==================================================================== b . 28.50 |==================================================================== c . 28.54 |==================================================================== OpenVINO 2023.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 109.51 |=================================================================== b . 109.56 |=================================================================== c . 109.18 |=================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better a . 6.8798 |=================================================================== b . 6.8673 |=================================================================== c . 6.8562 |=================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better a . 5852.60 |================================================================== b . 5868.63 |================================================================== c . 5872.67 |================================================================== QuantLib 1.32 Configuration: Multi-Threaded MFLOPS > Higher Is Better a . 17332.3 |================================================================== b . 17273.4 |================================================================== c . 17326.6 |================================================================== Stress-NG 0.16.04 Test: AVX-512 VNNI Bogo Ops/s > Higher Is Better a . 239957.63 |================================================================ b . 239843.62 |================================================================ c . 240648.24 |================================================================ Stress-NG 0.16.04 Test: Hash Bogo Ops/s > Higher Is Better a . 1369137.05 |=============================================================== b . 1364579.50 |=============================================================== c . 1366996.53 |=============================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 9.19 |===================================================================== b . 9.18 |===================================================================== c . 9.21 |===================================================================== Cpuminer-Opt 23.5 Algorithm: Skeincoin kH/s > Higher Is Better a . 8334.91 |================================================================== b . 8349.03 |================================================================== c . 8361.85 |================================================================== NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 21.69 |==================================================================== b . 21.66 |==================================================================== c . 21.73 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 7187 |===================================================================== b . 7200 |===================================================================== c . 7178 |===================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 71.76 |==================================================================== b . 71.68 |==================================================================== c . 71.54 |==================================================================== Stress-NG 0.16.04 Test: Poll Bogo Ops/s > Higher Is Better a . 699249.96 |================================================================ b . 698234.26 |================================================================ c . 700345.61 |================================================================ OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 140298 |=================================================================== b . 139878 |=================================================================== c . 140057 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 41.75 |==================================================================== b . 41.83 |==================================================================== c . 41.88 |==================================================================== Stress-NG 0.16.04 Test: Socket Activity Bogo Ops/s > Higher Is Better a . 4105.68 |================================================================== b . 4096.52 |================================================================== c . 4108.67 |================================================================== Cpuminer-Opt 23.5 Algorithm: Deepcoin kH/s > Higher Is Better a . 1836.39 |================================================================== b . 1838.98 |================================================================== c . 1841.83 |================================================================== DaCapo Benchmark 23.11 Java Test: Apache Kafka msec < Lower Is Better a . 6090 |===================================================================== b . 6108 |===================================================================== c . 6097 |===================================================================== Stress-NG 0.16.04 Test: System V Message Passing Bogo Ops/s > Higher Is Better a . 6906619.23 |=============================================================== b . 6910876.85 |=============================================================== c . 6891049.07 |=============================================================== Cpuminer-Opt 23.5 Algorithm: Magi kH/s > Higher Is Better a . 160.75 |=================================================================== b . 160.98 |=================================================================== c . 161.21 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 163.39 |=================================================================== b . 163.32 |=================================================================== c . 163.78 |=================================================================== DaCapo Benchmark 23.11 Java Test: Apache Tomcat msec < Lower Is Better a . 11039 |==================================================================== b . 11070 |==================================================================== c . 11060 |==================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 1914.17 |================================================================== b . 1919.53 |================================================================== c . 1917.26 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 32.34 |==================================================================== b . 32.25 |==================================================================== c . 32.31 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 57.51 |==================================================================== b . 57.36 |==================================================================== c . 57.52 |==================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 922564 |=================================================================== b . 923928 |=================================================================== c . 921412 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 26.03 |==================================================================== b . 25.96 |==================================================================== c . 25.99 |==================================================================== OpenVINO 2023.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 3262.61 |================================================================== b . 3271.38 |================================================================== c . 3265.89 |================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 38.40 |==================================================================== b . 38.50 |==================================================================== c . 38.47 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 225.63 |=================================================================== b . 225.95 |=================================================================== c . 225.37 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 4.4318 |=================================================================== b . 4.4256 |=================================================================== c . 4.4369 |=================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better a . 56.34 |==================================================================== b . 56.38 |==================================================================== c . 56.24 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 261.73 |=================================================================== b . 262.39 |=================================================================== c . 262.13 |=================================================================== Stress-NG 0.16.04 Test: Glibc Qsort Data Sorting Bogo Ops/s > Higher Is Better a . 150.19 |=================================================================== b . 150.52 |=================================================================== c . 150.56 |=================================================================== OpenVINO 2023.2.dev Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 24.46 |==================================================================== b . 24.47 |==================================================================== c . 24.41 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 89.26 |==================================================================== b . 89.18 |==================================================================== c . 89.40 |==================================================================== Xmrig 6.21 Variant: GhostRider - Hash Count: 1M H/s > Higher Is Better a . 248.8 |==================================================================== b . 249.0 |==================================================================== c . 248.4 |==================================================================== Neural Magic DeepSparse 1.6 Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 11.20 |==================================================================== b . 11.20 |==================================================================== c . 11.18 |==================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 8355 |===================================================================== b . 8351 |===================================================================== c . 8335 |===================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 82277 |==================================================================== b . 82118 |==================================================================== c . 82304 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better a . 53.19 |==================================================================== b . 53.17 |==================================================================== c . 53.28 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 20.93 |==================================================================== b . 20.88 |==================================================================== c . 20.91 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 47.76 |==================================================================== b . 47.87 |==================================================================== c . 47.81 |==================================================================== SVT-AV1 1.8 Encoder Mode: Preset 12 - Input: Bosphorus 4K Frames Per Second > Higher Is Better a . 55.76 |==================================================================== b . 55.87 |==================================================================== c . 55.86 |==================================================================== OpenVINO 2023.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 15.26 |==================================================================== b . 15.23 |==================================================================== c . 15.23 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 383.62 |=================================================================== b . 384.37 |=================================================================== c . 384.06 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 23.83 |==================================================================== b . 23.88 |==================================================================== c . 23.84 |==================================================================== Neural Magic DeepSparse 1.6 Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 41.95 |==================================================================== b . 41.87 |==================================================================== c . 41.93 |==================================================================== OpenVINO 2023.2.dev Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 10.39 |==================================================================== b . 10.37 |==================================================================== c . 10.38 |==================================================================== Blender 4.0 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 274.06 |=================================================================== b . 273.88 |=================================================================== c . 273.54 |=================================================================== Blender 4.0 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 926.75 |=================================================================== b . 926.69 |=================================================================== c . 925.22 |=================================================================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a . 2140.54 |================================================================== b . 2140.08 |================================================================== c . 2137.08 |================================================================== OpenVINO 2023.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 2709.93 |================================================================== b . 2709.89 |================================================================== c . 2705.55 |================================================================== Cpuminer-Opt 23.5 Algorithm: Quad SHA-256, Pyrite kH/s > Higher Is Better a . 12550 |==================================================================== b . 12550 |==================================================================== c . 12530 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 40.09 |==================================================================== b . 40.03 |==================================================================== c . 40.08 |==================================================================== Neural Magic DeepSparse 1.6 Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 24.94 |==================================================================== b . 24.97 |==================================================================== c . 24.94 |==================================================================== Blender 4.0 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a . 2872.40 |================================================================== b . 2875.21 |================================================================== c . 2871.44 |================================================================== OSPRay Studio 0.13 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 35203 |==================================================================== b . 35162 |==================================================================== c . 35157 |==================================================================== OSPRay Studio 0.13 Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 232873 |=================================================================== b . 233029 |=================================================================== c . 233165 |=================================================================== FFmpeg 6.1 Encoder: libx264 - Scenario: Platform FPS > Higher Is Better a . 40.87 |==================================================================== b . 40.82 |==================================================================== c . 40.87 |==================================================================== Stress-NG 0.16.04 Test: Vector Shuffle Bogo Ops/s > Higher Is Better a . 4032.30 |================================================================== b . 4031.90 |================================================================== c . 4036.74 |================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 203.72 |=================================================================== b . 203.54 |=================================================================== c . 203.76 |=================================================================== Neural Magic DeepSparse 1.6 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 4.9083 |=================================================================== b . 4.9127 |=================================================================== c . 4.9075 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 1070452 |================================================================== b . 1069418 |================================================================== c . 1070341 |================================================================== Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better a . 1698.07 |================================================================== b . 1696.66 |================================================================== c . 1697.60 |================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 195.63 |=================================================================== b . 195.60 |=================================================================== c . 195.76 |=================================================================== Stress-NG 0.16.04 Test: Malloc Bogo Ops/s > Higher Is Better a . 2857973.82 |=============================================================== b . 2856309.44 |=============================================================== c . 2858628.37 |=============================================================== QuantLib 1.32 Configuration: Single-Threaded MFLOPS > Higher Is Better a . 2767.1 |=================================================================== b . 2769.2 |=================================================================== c . 2767.4 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better a . 224.57 |=================================================================== b . 224.64 |=================================================================== c . 224.49 |=================================================================== Neural Magic DeepSparse 1.6 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better a . 4.4527 |=================================================================== b . 4.4513 |=================================================================== c . 4.4543 |=================================================================== DaCapo Benchmark 23.11 Java Test: jMonkeyEngine msec < Lower Is Better a . 6958 |===================================================================== b . 6962 |===================================================================== c . 6959 |===================================================================== Cpuminer-Opt 23.5 Algorithm: Triple SHA-256, Onecoin kH/s > Higher Is Better a . 17960 |==================================================================== b . 17950 |==================================================================== c . 17950 |==================================================================== Stress-NG 0.16.04 Test: Atomic Bogo Ops/s > Higher Is Better a . 459.00 |=================================================================== b . 459.14 |=================================================================== c . 458.91 |=================================================================== OpenVINO 2023.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 20.42 |==================================================================== b . 20.42 |==================================================================== c . 20.41 |==================================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better a . 337.43 |=================================================================== b . 337.55 |=================================================================== c . 337.55 |=================================================================== OSPRay Studio 0.13 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPU ms < Lower Is Better a . 39763 |==================================================================== b . 39772 |==================================================================== c . 39774 |==================================================================== Stress-NG 0.16.04 Test: x86_64 RdRand Bogo Ops/s > Higher Is Better a . 6663.75 |================================================================== b . 6665.26 |================================================================== c . 6664.61 |================================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 1.44 |===================================================================== b . 1.44 |===================================================================== c . 1.44 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.23 |===================================================================== b . 0.23 |===================================================================== c . 0.23 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.23 |===================================================================== b . 0.23 |===================================================================== c . 0.23 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression MP/s > Higher Is Better a . 0.01 |===================================================================== b . 0.01 |===================================================================== c . 0.01 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 MP/s > Higher Is Better a . 0.03 |===================================================================== b . 0.03 |===================================================================== c . 0.03 |===================================================================== WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 MP/s > Higher Is Better a . 0.07 |===================================================================== b . 0.07 |===================================================================== c . 0.07 |===================================================================== DuckDB 0.9.1 Benchmark: TPC-H Parquet Seconds < Lower Is Better DuckDB 0.9.1 Benchmark: IMDB Seconds < Lower Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q22 Seconds < Lower Is Better a . 1.30299354 |===================================================== b . 1.53510463 |=============================================================== c . 1.50756407 |============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q21 Seconds < Lower Is Better a . 9.07305050 |============================================================ b . 9.54779816 |=============================================================== c . 8.86384010 |========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q20 Seconds < Lower Is Better a . 2.41372919 |============================================================ b . 2.54700851 |=============================================================== c . 2.36286831 |========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q19 Seconds < Lower Is Better a . 1.56050658 |======================================================= b . 1.77942574 |=============================================================== c . 1.62940145 |========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q18 Seconds < Lower Is Better a . 4.20644236 |============================================================== b . 4.26704741 |=============================================================== c . 4.27269268 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q17 Seconds < Lower Is Better a . 3.62711215 |=============================================================== b . 3.61934900 |=============================================================== c . 3.50928020 |============================================================= Apache Spark TPC-H 3.5 Scale Factor: 1 - Q16 Seconds < Lower Is Better a . 1.49608290 |============================================================== b . 1.51768637 |=============================================================== c . 1.44492042 |============================================================ Apache Spark TPC-H 3.5 Scale Factor: 1 - Q15 Seconds < Lower Is Better a . 1.74446428 |============================================================== b . 1.77919817 |=============================================================== c . 1.76990700 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q14 Seconds < Lower Is Better a . 1.66763389 |=============================================================== b . 1.66164672 |============================================================== c . 1.67524362 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q13 Seconds < Lower Is Better a . 1.70204818 |=============================================================== b . 1.56997681 |========================================================== c . 1.50164175 |======================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q12 Seconds < Lower Is Better a . 2.25927687 |=============================================================== b . 2.20338345 |============================================================= c . 2.18155408 |============================================================= Apache Spark TPC-H 3.5 Scale Factor: 1 - Q11 Seconds < Lower Is Better a . 1.40807271 |=============================================================== b . 1.28839672 |========================================================== c . 1.30776501 |=========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q10 Seconds < Lower Is Better a . 2.77244282 |============================================================ b . 2.79987454 |============================================================= c . 2.88941693 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q09 Seconds < Lower Is Better a . 4.39579391 |=============================================================== b . 4.36701632 |=============================================================== c . 4.18974257 |============================================================ Apache Spark TPC-H 3.5 Scale Factor: 1 - Q08 Seconds < Lower Is Better a . 2.58961225 |============================================================= b . 2.55267692 |============================================================= c . 2.65772152 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q07 Seconds < Lower Is Better a . 2.90585136 |=============================================================== b . 2.90909719 |=============================================================== c . 2.90456581 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q06 Seconds < Lower Is Better a . 1.32001436 |============================================================ b . 1.39413798 |=============================================================== c . 1.39161527 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q05 Seconds < Lower Is Better a . 3.34390712 |=============================================================== b . 3.21631765 |============================================================= c . 3.14652157 |=========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q04 Seconds < Lower Is Better a . 2.95742679 |=============================================================== b . 2.87153316 |============================================================= c . 2.76678443 |=========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q03 Seconds < Lower Is Better a . 3.14664507 |========================================================= b . 3.49644971 |=============================================================== c . 3.21106935 |========================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q02 Seconds < Lower Is Better a . 2.69581914 |======================================================= b . 2.76885891 |========================================================= c . 3.07445645 |=============================================================== Apache Spark TPC-H 3.5 Scale Factor: 1 - Q01 Seconds < Lower Is Better a . 4.98602200 |============================================================ b . 5.20342541 |=============================================================== c . 5.06900406 |=============================================================