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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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August 03 2023
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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: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.15.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 23.04, Kernel: 6.2.0-24-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.0.2, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200 Apache Cassandra 4.1.3 Test: Writes Op/s > Higher Is Better a . 39864 |================================================================== b . 40823 |==================================================================== c . 39536 |================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 640563.22 |=============================================================== b . 644833.00 |=============================================================== c . 655887.03 |================================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency > Higher Is Better a . 16.78 |==================================================================== b . 16.41 |=================================================================== c . 16.03 |================================================================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1265418.91 |=============================================================== b . 1247796.00 |============================================================== c . 1266283.94 |=============================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency > Higher Is Better a . 24.98 |==================================================================== b . 25.14 |==================================================================== c . 24.73 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 point/sec > Higher Is Better a . 1035973.61 |=============================================================== b . 1007122.62 |============================================================= c . 995398.43 |============================================================= Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 Average Latency > Higher Is Better a . 12.00 |================================================================ b . 12.52 |=================================================================== c . 12.78 |==================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 point/sec > Higher Is Better a . 1696504.02 |=============================================================== b . 1651562.36 |============================================================= c . 1659495.29 |============================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 Average Latency > Higher Is Better a . 22.08 |================================================================= b . 23.10 |==================================================================== c . 22.63 |=================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 22588608.67 |============================================================== b . 21253793.53 |========================================================== c . 17612257.13 |================================================ Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency > Higher Is Better a . 68.48 |============================================================= b . 74.08 |================================================================== c . 76.87 |==================================================================== Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 21059562.60 |============================================================ b . 21812047.21 |============================================================== c . 8804114.19 |========================= Apache IoTDB 1.1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency > Higher Is Better a . 211.96 |============================ b . 200.97 |=========================== c . 499.98 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 point/sec > Higher Is Better a . 17866468.26 |=========================================================== b . 18637109.83 |============================================================== c . 9365385.68 |=============================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 Average Latency > Higher Is Better a . 91.67 |===================================== b . 85.64 |=================================== c . 164.99 |=================================================================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 point/sec > Higher Is Better a . 16383690.96 |============================================================== b . 10851137.82 |========================================= c . 5724897.60 |====================== Apache IoTDB 1.1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 Average Latency > Higher Is Better a . 284.41 |========================= b . 370.36 |================================= c . 757.34 |=================================================================== BRL-CAD 7.36 VGR Performance Metric VGR Performance Metric > Higher Is Better a . 52008 |==================================================================== b . 51967 |==================================================================== c . 51880 |==================================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1331051.90 |============================================================ b . 1310891.48 |=========================================================== c . 1394989.58 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1620397.17 |=============================================================== b . 1572424.89 |============================================================= c . 1561730.49 |============================================================= Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:5 Ops/sec > Higher Is Better a . 1509161.50 |============================================================= b . 1546553.32 |============================================================== c . 1559859.23 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1283252.40 |============================================================= b . 1275557.39 |============================================================= c . 1325104.13 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1553942.49 |============================================================ b . 1532531.22 |============================================================ c . 1620928.16 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:10 Ops/sec > Higher Is Better a . 1559408.51 |============================================================== b . 1545294.47 |============================================================== c . 1574780.45 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 1267626.25 |============================================================= b . 1305698.48 |=============================================================== c . 1297415.25 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 20 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 1504800.26 |========================================================= b . 1532061.63 |========================================================== c . 1655250.86 |=============================================================== Dragonflydb 1.6.2 Clients Per Thread: 50 - Set To Get Ratio: 1:100 Ops/sec > Higher Is Better a . 1590238.43 |=============================================================== b . 1538729.61 |============================================================= c . 1548401.54 |============================================================= NCNN 20230517 Target: CPU - Model: mobilenet ms < Lower Is Better a . 20.74 |==================================================================== b . 20.74 |==================================================================== c . 20.74 |==================================================================== NCNN 20230517 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.60 |===================================================================== b . 4.60 |===================================================================== c . 4.53 |==================================================================== NCNN 20230517 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.58 |===================================================================== b . 3.59 |===================================================================== c . 3.51 |=================================================================== NCNN 20230517 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better a . 4.03 |===================================================================== b . 3.47 |=========================================================== c . 3.47 |=========================================================== NCNN 20230517 Target: CPU - Model: mnasnet ms < Lower Is Better a . 4.55 |===================================================================== b . 3.86 |=========================================================== c . 3.83 |========================================================== NCNN 20230517 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better a . 8.85 |===================================================================== b . 6.92 |====================================================== c . 6.64 |==================================================== NCNN 20230517 Target: CPU - Model: blazeface ms < Lower Is Better a . 1.32 |===================================================================== b . 0.94 |================================================= c . 0.96 |================================================== NCNN 20230517 Target: CPU - Model: googlenet ms < Lower Is Better a . 15.82 |==================================================================== b . 12.78 |======================================================= c . 12.42 |===================================================== NCNN 20230517 Target: CPU - Model: vgg16 ms < Lower Is Better a . 59.09 |==================================================================== b . 54.25 |============================================================== c . 54.13 |============================================================== NCNN 20230517 Target: CPU - Model: resnet18 ms < Lower Is Better a . 11.17 |==================================================================== b . 9.25 |======================================================== c . 9.19 |======================================================== NCNN 20230517 Target: CPU - Model: alexnet ms < Lower Is Better a . 8.61 |===================================================================== b . 7.43 |============================================================ c . 7.30 |=========================================================== NCNN 20230517 Target: CPU - Model: resnet50 ms < Lower Is Better a . 28.74 |==================================================================== b . 26.57 |=============================================================== c . 26.57 |=============================================================== NCNN 20230517 Target: CPU - Model: yolov4-tiny ms < Lower Is Better a . 29.44 |==================================================================== b . 29.03 |=================================================================== c . 29.25 |==================================================================== NCNN 20230517 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better a . 12.95 |==================================================================== b . 12.23 |================================================================ c . 12.05 |=============================================================== NCNN 20230517 Target: CPU - Model: regnety_400m ms < Lower Is Better a . 11.76 |==================================================================== b . 8.61 |================================================== c . 8.39 |================================================= NCNN 20230517 Target: CPU - Model: vision_transformer ms < Lower Is Better a . 189.40 |============================================================== b . 204.36 |=================================================================== c . 200.23 |================================================================== NCNN 20230517 Target: CPU - Model: FastestDet ms < Lower Is Better a . 3.97 |===================================================================== b . 3.91 |==================================================================== c . 3.89 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better a . 21.07 |==================================================================== b . 20.65 |=================================================================== c . 20.69 |=================================================================== NCNN 20230517 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better a . 4.66 |===================================================================== b . 4.63 |===================================================================== c . 4.60 |==================================================================== NCNN 20230517 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better a . 3.60 |===================================================================== b . 3.59 |===================================================================== c . 3.54 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better a . 3.50 |===================================================================== b . 3.49 |===================================================================== c . 3.49 |===================================================================== NCNN 20230517 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better a . 3.93 |===================================================================== b . 3.89 |==================================================================== c . 3.87 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better a . 6.99 |===================================================================== b . 6.98 |===================================================================== c . 6.81 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better a . 1.26 |===================================================================== b . 0.99 |====================================================== c . 1.08 |=========================================================== NCNN 20230517 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better a . 15.86 |==================================================================== b . 14.09 |============================================================ c . 14.01 |============================================================ NCNN 20230517 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better a . 59.03 |==================================================================== b . 57.88 |=================================================================== c . 58.28 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better a . 11.18 |==================================================================== b . 10.22 |============================================================== c . 10.40 |=============================================================== NCNN 20230517 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better a . 8.68 |===================================================================== b . 8.08 |================================================================ c . 8.15 |================================================================= NCNN 20230517 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better a . 28.84 |==================================================================== b . 28.71 |==================================================================== c . 28.78 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better a . 29.60 |==================================================================== b . 29.23 |=================================================================== c . 29.11 |=================================================================== NCNN 20230517 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better a . 13.05 |==================================================================== b . 13.01 |==================================================================== c . 13.00 |==================================================================== NCNN 20230517 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better a . 11.19 |==================================================================== b . 8.57 |==================================================== c . 9.62 |========================================================== NCNN 20230517 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better a . 207.46 |=================================================================== b . 193.90 |=============================================================== c . 188.79 |============================================================= NCNN 20230517 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better a . 3.97 |==================================================================== b . 3.94 |=================================================================== c . 4.03 |===================================================================== Timed GCC Compilation 13.2 Time To Compile Seconds < Lower Is Better a . 2404.77 |================================================================== b . 2404.32 |================================================================== c . 2394.14 |================================================================== VkFFT 1.2.31 Test: FFT + iFFT R2C / C2R Benchmark Score > Higher Is Better a . 5585 |==================================================================== b . 5589 |==================================================================== c . 5688 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in half precision Benchmark Score > Higher Is Better a . 14246 |==================================================================== b . 14232 |==================================================================== c . 14241 |==================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein in single precision Benchmark Score > Higher Is Better a . 1033 |===================================================================== b . 1034 |===================================================================== c . 1035 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in double precision Benchmark Score > Higher Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision Benchmark Score > Higher Is Better a . 7486 |===================================================================== b . 7482 |===================================================================== c . 7478 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C multidimensional in single precision Benchmark Score > Higher Is Better a . 4944 |=================================================================== b . 4937 |=================================================================== c . 5087 |===================================================================== VkFFT 1.2.31 Test: FFT + iFFT C2C Bluestein benchmark in double precision Benchmark Score > Higher Is Better VkFFT 1.2.31 Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling Benchmark Score > Higher Is Better a . 8176 |===================================================================== b . 8176 |===================================================================== c . 8183 |===================================================================== vkpeak 20230730 fp32-scalar GFLOPS > Higher Is Better a . 934.74 |=================================================================== b . 935.02 |=================================================================== c . 934.81 |=================================================================== vkpeak 20230730 fp32-vec4 GFLOPS > Higher Is Better a . 1478.58 |================================================================== b . 1478.50 |================================================================== c . 1479.04 |================================================================== vkpeak 20230730 fp16-scalar GFLOPS > Higher Is Better a . 2309.29 |================================================================== b . 2309.19 |================================================================== c . 2309.28 |================================================================== vkpeak 20230730 fp16-vec4 GFLOPS > Higher Is Better a . 3182.23 |================================================================== b . 3182.01 |================================================================== c . 3182.29 |================================================================== vkpeak 20230730 int32-scalar GIOPS > Higher Is Better a . 474.88 |=================================================================== b . 474.86 |=================================================================== c . 474.89 |=================================================================== vkpeak 20230730 int32-vec4 GIOPS > Higher Is Better a . 493.63 |=================================================================== b . 493.63 |=================================================================== c . 493.65 |=================================================================== vkpeak 20230730 int16-scalar GIOPS > Higher Is Better a . 907.91 |=================================================================== b . 907.82 |=================================================================== c . 907.87 |=================================================================== vkpeak 20230730 int16-vec4 GIOPS > Higher Is Better a . 979.25 |=================================================================== b . 979.30 |=================================================================== c . 979.23 |=================================================================== VkResample 1.0 Upscale: 2x - Precision: Single ms < Lower Is Better a . 100.01 |=================================================================== b . 100.01 |=================================================================== c . 100.01 |=================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Fast Frames Per Second > Higher Is Better a . 1.654 |=================================================================== b . 1.650 |=================================================================== c . 1.677 |==================================================================== VVenC 1.9 Video Input: Bosphorus 4K - Video Preset: Faster Frames Per Second > Higher Is Better a . 3.680 |================================================================= b . 3.781 |=================================================================== c . 3.853 |==================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Fast Frames Per Second > Higher Is Better a . 5.140 |=================================================================== b . 5.124 |================================================================== c . 5.249 |==================================================================== VVenC 1.9 Video Input: Bosphorus 1080p - Video Preset: Faster Frames Per Second > Higher Is Better a . 12.80 |=============================================================== b . 12.64 |============================================================== c . 13.80 |====================================================================