dges Intel Core i7-5960X testing with a Gigabyte X99-UD4-CF (F24c BIOS) and NVIDIA GeForce 6600 GT on Debian 12 via the Phoronix Test Suite. a: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4 b: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4 c: Processor: Intel Core i7-5960X @ 3.50GHz (8 Cores / 16 Threads), Motherboard: Gigabyte X99-UD4-CF (F24c BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 8 x 4GB DDR4-2400MT/s CMK16GX4M4A2666C16, Disk: 120GB INTEL SSDSC2BW12, Graphics: NVIDIA GeForce 6600 GT, Audio: Realtek ALC1150, Network: Intel I218-V OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Compiler: GCC 12.2.0, File-System: ext4 JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 80 MP/s > Higher Is Better a . 16.01 |==================================================================== b . 15.56 |================================================================== c . 15.77 |=================================================================== JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 90 MP/s > Higher Is Better a . 14.46 |================================================================== b . 14.90 |==================================================================== c . 14.36 |================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 80 MP/s > Higher Is Better a . 15.94 |==================================================================== b . 15.66 |=================================================================== c . 15.99 |==================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 90 MP/s > Higher Is Better a . 14.81 |=================================================================== b . 14.96 |==================================================================== c . 14.95 |==================================================================== JPEG-XL libjxl 0.10.1 Input: PNG - Quality: 100 MP/s > Higher Is Better a . 7.062 |==================================================================== b . 7.064 |==================================================================== c . 7.081 |==================================================================== JPEG-XL libjxl 0.10.1 Input: JPEG - Quality: 100 MP/s > Higher Is Better a . 6.942 |==================================================================== b . 6.975 |==================================================================== c . 6.981 |==================================================================== JPEG-XL Decoding libjxl 0.10.1 CPU Threads: 1 MP/s > Higher Is Better a . 43.18 |==================================================================== b . 43.26 |==================================================================== c . 43.28 |==================================================================== JPEG-XL Decoding libjxl 0.10.1 CPU Threads: All MP/s > Higher Is Better a . 278.17 |================================================================== b . 279.00 |================================================================== c . 282.66 |=================================================================== srsRAN Project 23.10.1-20240219 Test: PDSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 2684.6 |================================================================= b . 2750.8 |=================================================================== c . 2667.7 |================================================================= srsRAN Project 23.10.1-20240219 Test: PUSCH Processor Benchmark, Throughput Total Mbps > Higher Is Better a . 578.5 |==================================================================== b . 578.1 |==================================================================== c . 578.9 |==================================================================== srsRAN Project 23.10.1-20240219 Test: PDSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better a . 290.5 |==================================================================== b . 290.7 |==================================================================== c . 290.3 |==================================================================== srsRAN Project 23.10.1-20240219 Test: PUSCH Processor Benchmark, Throughput Thread Mbps > Higher Is Better a . 89.2 |===================================================================== b . 89.0 |===================================================================== c . 89.3 |===================================================================== Parallel BZIP2 Compression 1.1.13 FreeBSD-13.0-RELEASE-amd64-memstick.img Compression Seconds < Lower Is Better a . 12.18 |================================================================== b . 12.62 |==================================================================== c . 12.59 |==================================================================== oneDNN 3.4 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 8.34066 |================================================================== b . 8.32894 |================================================================== c . 8.35068 |================================================================== oneDNN 3.4 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 9.58412 |================================================================== b . 9.54774 |================================================================== c . 9.57295 |================================================================== oneDNN 3.4 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 10.63 |==================================================================== b . 10.64 |==================================================================== c . 10.61 |==================================================================== oneDNN 3.4 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 7.34580 |================================================================= b . 7.41562 |================================================================== c . 7.28030 |================================================================= oneDNN 3.4 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 9.17819 |====================================================== b . 11.13170 |================================================================= c . 9.13654 |===================================================== oneDNN 3.4 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 5121.72 |================================================================== b . 5067.24 |================================================================= c . 4969.67 |================================================================ oneDNN 3.4 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 2754.39 |================================================================ b . 2782.62 |================================================================= c . 2835.16 |================================================================== Google Draco 1.5.6 Model: Lion ms < Lower Is Better a . 6254 |===================================================================== b . 6215 |===================================================================== c . 6240 |===================================================================== Google Draco 1.5.6 Model: Church Facade ms < Lower Is Better a . 7736 |===================================================================== b . 7695 |===================================================================== c . 7739 |===================================================================== OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better a . 1.80 |===================================================================== b . 1.79 |===================================================================== c . 1.79 |===================================================================== OpenVINO 2024.0 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better a . 2215.18 |================================================================== b . 2211.16 |================================================================== c . 2199.21 |================================================================== OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a . 19.77 |=================================================================== b . 20.07 |==================================================================== c . 19.98 |==================================================================== OpenVINO 2024.0 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a . 202.04 |=================================================================== b . 199.04 |================================================================== c . 199.99 |================================================================== OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better a . 19.50 |==================================================================== b . 19.62 |==================================================================== c . 19.58 |==================================================================== OpenVINO 2024.0 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better a . 204.90 |=================================================================== b . 203.64 |=================================================================== c . 204.28 |=================================================================== OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better a . 136.70 |================================================================== b . 138.73 |=================================================================== c . 137.28 |================================================================== OpenVINO 2024.0 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better a . 29.24 |==================================================================== b . 28.81 |=================================================================== c . 29.12 |==================================================================== OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 2.35 |===================================================================== b . 2.36 |===================================================================== c . 2.35 |===================================================================== OpenVINO 2024.0 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 1697.61 |================================================================== b . 1684.01 |================================================================= c . 1690.86 |================================================================== OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU FPS > Higher Is Better a . 463.96 |=================================================================== b . 462.05 |=================================================================== c . 450.59 |================================================================= OpenVINO 2024.0 Model: Face Detection Retail FP16 - Device: CPU ms < Lower Is Better a . 8.61 |=================================================================== b . 8.64 |=================================================================== c . 8.86 |===================================================================== OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU FPS > Higher Is Better a . 48.75 |==================================================================== b . 48.94 |==================================================================== c . 47.91 |=================================================================== OpenVINO 2024.0 Model: Road Segmentation ADAS FP16 - Device: CPU ms < Lower Is Better a . 82.00 |=================================================================== b . 81.68 |=================================================================== c . 83.44 |==================================================================== OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 176.63 |=================================================================== b . 175.21 |================================================================== c . 176.97 |=================================================================== OpenVINO 2024.0 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 22.63 |=================================================================== b . 22.81 |==================================================================== c . 22.59 |=================================================================== OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better a . 158.19 |=================================================================== b . 158.20 |=================================================================== c . 156.65 |================================================================== OpenVINO 2024.0 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better a . 25.27 |=================================================================== b . 25.27 |=================================================================== c . 25.52 |==================================================================== OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a . 528.36 |=================================================================== b . 531.04 |=================================================================== c . 530.77 |=================================================================== OpenVINO 2024.0 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a . 7.56 |===================================================================== b . 7.52 |===================================================================== c . 7.53 |===================================================================== OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a . 84.79 |==================================================================== b . 84.90 |==================================================================== c . 84.69 |==================================================================== OpenVINO 2024.0 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a . 47.15 |==================================================================== b . 47.09 |==================================================================== c . 47.20 |==================================================================== OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a . 22.33 |==================================================================== b . 22.38 |==================================================================== c . 21.70 |================================================================== OpenVINO 2024.0 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a . 179.00 |================================================================= b . 178.67 |================================================================= c . 184.21 |=================================================================== OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a . 238.14 |=================================================================== b . 238.61 |=================================================================== c . 238.23 |=================================================================== OpenVINO 2024.0 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a . 33.58 |==================================================================== b . 33.51 |==================================================================== c . 33.57 |==================================================================== OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a . 201.04 |=================================================================== b . 196.71 |================================================================= c . 202.08 |=================================================================== OpenVINO 2024.0 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a . 19.88 |=================================================================== b . 20.32 |==================================================================== c . 19.78 |================================================================== OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU FPS > Higher Is Better a . 247.16 |================================================================== b . 249.36 |=================================================================== c . 248.74 |=================================================================== OpenVINO 2024.0 Model: Noise Suppression Poconet-Like FP16 - Device: CPU ms < Lower Is Better a . 16.14 |==================================================================== b . 15.99 |=================================================================== c . 16.04 |==================================================================== OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU FPS > Higher Is Better a . 62.94 |================================================================= b . 65.39 |==================================================================== c . 60.76 |=============================================================== OpenVINO 2024.0 Model: Handwritten English Recognition FP16 - Device: CPU ms < Lower Is Better a . 63.51 |================================================================== b . 61.15 |=============================================================== c . 65.79 |==================================================================== OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU FPS > Higher Is Better a . 232.98 |=================================================================== b . 233.47 |=================================================================== c . 234.03 |=================================================================== OpenVINO 2024.0 Model: Person Re-Identification Retail FP16 - Device: CPU ms < Lower Is Better a . 17.16 |==================================================================== b . 17.12 |==================================================================== c . 17.08 |==================================================================== OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better a . 4700.66 |================================================================== b . 4719.97 |================================================================== c . 4692.56 |================================================================== OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better a . 1.69 |===================================================================== b . 1.69 |===================================================================== c . 1.70 |===================================================================== OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a . 77.26 |==================================================================== b . 76.56 |=================================================================== c . 73.08 |================================================================ OpenVINO 2024.0 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a . 103.47 |=============================================================== b . 104.39 |================================================================ c . 109.41 |=================================================================== OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a . 7068.61 |================================================================== b . 7113.97 |================================================================== c . 7055.76 |================================================================= OpenVINO 2024.0 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a . 1.12 |==================================================================== b . 1.12 |==================================================================== c . 1.13 |===================================================================== WavPack Audio Encoding 5.7 WAV To WavPack Seconds < Lower Is Better a . 8.934 |=================================================================== b . 9.058 |==================================================================== c . 9.073 |==================================================================== Chaos Group V-RAY 6.0 Mode: CPU vsamples > Higher Is Better a . 8930 |==================================================================== b . 9077 |===================================================================== c . 9012 |=====================================================================