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Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.04 via the Phoronix Test Suite.

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CPU Massive 2 Tests
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Database Test Suite 3 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 4 Tests
Server 3 Tests
Vulkan Compute 4 Tests

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a
August 03 2023
  6 Hours, 23 Minutes
b
August 03 2023
  6 Hours, 21 Minutes
c
August 03 2023
  6 Hours, 43 Minutes
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  6 Hours, 29 Minutes

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newnew Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.15.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.04 via the Phoronix Test Suite. ,,"a","b","c" Processor,,Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads),Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads) Motherboard,,Dell 0GG9PT (3.15.0 BIOS),Dell 0GG9PT (3.15.0 BIOS),Dell 0GG9PT (3.15.0 BIOS) Chipset,,Intel Tiger Lake-LP,Intel Tiger Lake-LP,Intel Tiger Lake-LP Memory,,16GB,16GB,16GB Disk,,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB,Kioxia KBG40ZNS256G NVMe 256GB Graphics,,Intel Xe TGL GT2 15GB (1300MHz),Intel Xe TGL GT2 15GB (1300MHz),Intel Xe TGL GT2 15GB (1300MHz) Audio,,Realtek ALC289,Realtek ALC289,Realtek ALC289 Network,,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201,Intel Wi-Fi 6 AX201 OS,,Ubuntu 23.04,Ubuntu 23.04,Ubuntu 23.04 Kernel,,6.2.0-24-generic (x86_64),6.2.0-24-generic (x86_64),6.2.0-24-generic (x86_64) Desktop,,GNOME Shell 44.0,GNOME Shell 44.0,GNOME Shell 44.0 Display Server,,X Server + Wayland,X Server + Wayland,X Server + Wayland OpenGL,,4.6 Mesa 23.0.2,4.6 Mesa 23.0.2,4.6 Mesa 23.0.2 Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1200,1920x1200,1920x1200 ,,"a","b","c" "Apache Cassandra - Test: Writes (Op/s)",HIB,39864,40823,39536 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,640563.22,644833,655887.03 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",HIB,16.78,16.41,16.03 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1265418.91,1247796,1266283.94 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",HIB,24.98,25.14,24.73 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (point/sec)",HIB,1035973.61,1007122.62,995398.43 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 (Latency)",HIB,12,12.52,12.78 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (point/sec)",HIB,1696504.02,1651562.36,1659495.29 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 (Latency)",HIB,22.08,23.1,22.63 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,22588608.67,21253793.53,17612257.13 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",HIB,68.48,74.08,76.87 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,21059562.6,21812047.21,8804114.19 "Apache IoTDB - Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",HIB,211.96,200.97,499.98 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (point/sec)",HIB,17866468.26,18637109.83,9365385.68 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 (Latency)",HIB,91.67,85.64,164.99 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (point/sec)",HIB,16383690.96,10851137.82,5724897.6 "Apache IoTDB - Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 (Latency)",HIB,284.41,370.36,757.34 "BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,52008,51967,51880 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1331051.90,1310891.48,1394989.58 "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1620397.17,1572424.89,1561730.49 "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:5 (Ops/sec)",HIB,1509161.50,1546553.32,1559859.23 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1283252.40,1275557.39,1325104.13 "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1553942.49,1532531.22,1620928.16 "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:10 (Ops/sec)",HIB,1559408.51,1545294.47,1574780.45 "Dragonflydb - Clients Per Thread: 10 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,1267626.25,1305698.48,1297415.25 "Dragonflydb - Clients Per Thread: 20 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,1504800.26,1532061.63,1655250.86 "Dragonflydb - Clients Per Thread: 50 - Set To Get Ratio: 1:100 (Ops/sec)",HIB,1590238.43,1538729.61,1548401.54 "NCNN - Target: CPU - Model: mobilenet (ms)",LIB,20.74,20.74,20.74 "NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.60,4.60,4.53 "NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.58,3.59,3.51 "NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.03,3.47,3.47 "NCNN - Target: CPU - Model: mnasnet (ms)",LIB,4.55,3.86,3.83 "NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,8.85,6.92,6.64 "NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.32,0.94,0.96 "NCNN - Target: CPU - Model: googlenet (ms)",LIB,15.82,12.78,12.42 "NCNN - Target: CPU - Model: vgg16 (ms)",LIB,59.09,54.25,54.13 "NCNN - Target: CPU - Model: resnet18 (ms)",LIB,11.17,9.25,9.19 "NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.61,7.43,7.30 "NCNN - Target: CPU - Model: resnet50 (ms)",LIB,28.74,26.57,26.57 "NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,29.44,29.03,29.25 "NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,12.95,12.23,12.05 "NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,11.76,8.61,8.39 "NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,189.40,204.36,200.23 "NCNN - Target: CPU - Model: FastestDet (ms)",LIB,3.97,3.91,3.89 "NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,21.07,20.65,20.69 "NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,4.66,4.63,4.60 "NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,3.60,3.59,3.54 "NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,3.50,3.49,3.49 "NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,3.93,3.89,3.87 "NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,6.99,6.98,6.81 "NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,1.26,0.99,1.08 "NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,15.86,14.09,14.01 "NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,59.03,57.88,58.28 "NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,11.18,10.22,10.40 "NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,8.68,8.08,8.15 "NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,28.84,28.71,28.78 "NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,29.60,29.23,29.11 "NCNN - Target: Vulkan GPU - Model: squeezenet_ssd (ms)",LIB,13.05,13.01,13.00 "NCNN - Target: Vulkan GPU - Model: regnety_400m (ms)",LIB,11.19,8.57,9.62 "NCNN - Target: Vulkan GPU - Model: vision_transformer (ms)",LIB,207.46,193.90,188.79 "NCNN - Target: Vulkan GPU - Model: FastestDet (ms)",LIB,3.97,3.94,4.03 "Timed GCC Compilation - Time To Compile (sec)",LIB,2404.774,2404.320,2394.139 "VkFFT - Test: FFT + iFFT R2C / C2R (Benchmark Score)",HIB,5585,5589,5688 "VkFFT - Test: FFT + iFFT C2C 1D batched in half precision (Benchmark Score)",HIB,14246,14232,14241 "VkFFT - Test: FFT + iFFT C2C Bluestein in single precision (Benchmark Score)",HIB,1033,1034,1035 "VkFFT - Test: FFT + iFFT C2C 1D batched in double precision (Benchmark Score)",HIB,,, "VkFFT - Test: FFT + iFFT C2C 1D batched in single precision (Benchmark Score)",HIB,7486,7482,7478 "VkFFT - Test: FFT + iFFT C2C multidimensional in single precision (Benchmark Score)",HIB,4944,4937,5087 "VkFFT - Test: FFT + iFFT C2C Bluestein benchmark in double precision (Benchmark Score)",HIB,,, "VkFFT - Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling (Benchmark Score)",HIB,8176,8176,8183 "vkpeak - fp32-scalar (GFLOPS)",HIB,934.74,935.02,934.81 "vkpeak - fp32-vec4 (GFLOPS)",HIB,1478.58,1478.50,1479.04 "vkpeak - fp16-scalar (GFLOPS)",HIB,2309.29,2309.19,2309.28 "vkpeak - fp16-vec4 (GFLOPS)",HIB,3182.23,3182.01,3182.29 "vkpeak - int32-scalar (GIOPS)",HIB,474.88,474.86,474.89 "vkpeak - int32-vec4 (GIOPS)",HIB,493.63,493.63,493.65 "vkpeak - int16-scalar (GIOPS)",HIB,907.91,907.82,907.87 "vkpeak - int16-vec4 (GIOPS)",HIB,979.25,979.3,979.23 "VkResample - Upscale: 2x - Precision: Single (ms)",LIB,100.009,100.010,100.009 "VVenC - Video Input: Bosphorus 4K - Video Preset: Fast (FPS)",HIB,1.654,1.650,1.677 "VVenC - Video Input: Bosphorus 4K - Video Preset: Faster (FPS)",HIB,3.680,3.781,3.853 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Fast (FPS)",HIB,5.14,5.124,5.249 "VVenC - Video Input: Bosphorus 1080p - Video Preset: Faster (FPS)",HIB,12.796,12.637,13.802