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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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
Timed GCC Compilation 13.2
Time To Compile
Seconds < Lower Is Better
a . 2404.77 |==================================================================
b . 2404.32 |==================================================================
c . 2394.14 |==================================================================
BRL-CAD 7.36
VGR Performance Metric
VGR Performance Metric > Higher Is Better
a . 52008 |====================================================================
b . 51967 |====================================================================
c . 51880 |====================================================================
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 |====================================================================
VkFFT 1.2.31
Test: FFT + iFFT C2C 1D batched in single precision
Benchmark Score > Higher Is Better
a . 7486 |=====================================================================
b . 7482 |=====================================================================
c . 7478 |=====================================================================
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 |===================================================================
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 |======================
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 |====================================================================
vkpeak 20230730
int16-vec4
GIOPS > Higher Is Better
a . 979.25 |===================================================================
b . 979.30 |===================================================================
c . 979.23 |===================================================================
vkpeak 20230730
int16-scalar
GIOPS > Higher Is Better
a . 907.91 |===================================================================
b . 907.82 |===================================================================
c . 907.87 |===================================================================
vkpeak 20230730
int32-vec4
GIOPS > Higher Is Better
a . 493.63 |===================================================================
b . 493.63 |===================================================================
c . 493.65 |===================================================================
vkpeak 20230730
int32-scalar
GIOPS > Higher Is Better
a . 474.88 |===================================================================
b . 474.86 |===================================================================
c . 474.89 |===================================================================
vkpeak 20230730
fp16-vec4
GFLOPS > Higher Is Better
a . 3182.23 |==================================================================
b . 3182.01 |==================================================================
c . 3182.29 |==================================================================
vkpeak 20230730
fp16-scalar
GFLOPS > Higher Is Better
a . 2309.29 |==================================================================
b . 2309.19 |==================================================================
c . 2309.28 |==================================================================
vkpeak 20230730
fp32-vec4
GFLOPS > Higher Is Better
a . 1478.58 |==================================================================
b . 1478.50 |==================================================================
c . 1479.04 |==================================================================
vkpeak 20230730
fp32-scalar
GFLOPS > Higher Is Better
a . 934.74 |===================================================================
b . 935.02 |===================================================================
c . 934.81 |===================================================================
NCNN 20230517
Target: Vulkan GPU - Model: FastestDet
ms < Lower Is Better
a . 3.97 |====================================================================
b . 3.94 |===================================================================
c . 4.03 |=====================================================================
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: regnety_400m
ms < Lower Is Better
a . 11.19 |====================================================================
b . 8.57 |====================================================
c . 9.62 |==========================================================
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: yolov4-tiny
ms < Lower Is Better
a . 29.60 |====================================================================
b . 29.23 |===================================================================
c . 29.11 |===================================================================
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: alexnet
ms < Lower Is Better
a . 8.68 |=====================================================================
b . 8.08 |================================================================
c . 8.15 |=================================================================
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: vgg16
ms < Lower Is Better
a . 59.03 |====================================================================
b . 57.88 |===================================================================
c . 58.28 |===================================================================
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: blazeface
ms < Lower Is Better
a . 1.26 |=====================================================================
b . 0.99 |======================================================
c . 1.08 |===========================================================
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: mnasnet
ms < Lower Is Better
a . 3.93 |=====================================================================
b . 3.89 |====================================================================
c . 3.87 |====================================================================
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-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
a . 3.60 |=====================================================================
b . 3.59 |=====================================================================
c . 3.54 |====================================================================
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 - Model: mobilenet
ms < Lower Is Better
a . 21.07 |====================================================================
b . 20.65 |===================================================================
c . 20.69 |===================================================================
NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
a . 3.97 |=====================================================================
b . 3.91 |====================================================================
c . 3.89 |====================================================================
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: regnety_400m
ms < Lower Is Better
a . 11.76 |====================================================================
b . 8.61 |==================================================
c . 8.39 |=================================================
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: yolov4-tiny
ms < Lower Is Better
a . 29.44 |====================================================================
b . 29.03 |===================================================================
c . 29.25 |====================================================================
NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
a . 28.74 |====================================================================
b . 26.57 |===============================================================
c . 26.57 |===============================================================
NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
a . 8.61 |=====================================================================
b . 7.43 |============================================================
c . 7.30 |===========================================================
NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
a . 11.17 |====================================================================
b . 9.25 |========================================================
c . 9.19 |========================================================
NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
a . 59.09 |====================================================================
b . 54.25 |==============================================================
c . 54.13 |==============================================================
NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
a . 15.82 |====================================================================
b . 12.78 |=======================================================
c . 12.42 |=====================================================
NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
a . 1.32 |=====================================================================
b . 0.94 |=================================================
c . 0.96 |==================================================
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: mnasnet
ms < Lower Is Better
a . 4.55 |=====================================================================
b . 3.86 |===========================================================
c . 3.83 |==========================================================
NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
a . 4.03 |=====================================================================
b . 3.47 |===========================================================
c . 3.47 |===========================================================
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-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
a . 4.60 |=====================================================================
b . 4.60 |=====================================================================
c . 4.53 |====================================================================
NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
a . 20.74 |====================================================================
b . 20.74 |====================================================================
c . 20.74 |====================================================================
Apache Cassandra 4.1.3
Test: Writes
Op/s > Higher Is Better
a . 39864 |==================================================================
b . 40823 |====================================================================
c . 39536 |==================================================================
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 |====================================================================
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 |=====================================================================
VkFFT 1.2.31
Test: FFT + iFFT C2C 1D batched in half precision
Benchmark Score > Higher Is Better
a . 14246 |====================================================================
b . 14232 |====================================================================
c . 14241 |====================================================================
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 |=============================================================
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: 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: 1:10
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: 1:5
Ops/sec > Higher Is Better
a . 1620397.17 |===============================================================
b . 1572424.89 |=============================================================
c . 1561730.49 |=============================================================
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: 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: 20 - Set To Get Ratio: 1:10
Ops/sec > Higher Is Better
a . 1553942.49 |============================================================
b . 1532531.22 |============================================================
c . 1620928.16 |===============================================================
VkFFT 1.2.31
Test: FFT + iFFT C2C Bluestein in single precision
Benchmark Score > Higher Is Better
a . 1033 |=====================================================================
b . 1034 |=====================================================================
c . 1035 |=====================================================================
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: 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: 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: 200
point/sec > Higher Is Better
a . 17866468.26 |===========================================================
b . 18637109.83 |==============================================================
c . 9365385.68 |===============================
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 |====================================================================
VkFFT 1.2.31
Test: FFT + iFFT C2C multidimensional in single precision
Benchmark Score > Higher Is Better
a . 4944 |===================================================================
b . 4937 |===================================================================
c . 5087 |=====================================================================
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: 200
point/sec > Higher Is Better
a . 22588608.67 |==============================================================
b . 21253793.53 |==========================================================
c . 17612257.13 |================================================
VkResample 1.0
Upscale: 2x - Precision: Single
ms < Lower Is Better
a . 100.01 |===================================================================
b . 100.01 |===================================================================
c . 100.01 |===================================================================
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: 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: 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: 200
point/sec > Higher Is Better
a . 1035973.61 |===============================================================
b . 1007122.62 |=============================================================
c . 995398.43 |=============================================================
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: 100 - Batch Size Per Write: 1 - Sensor Count: 500
point/sec > Higher Is Better
a . 1265418.91 |===============================================================
b . 1247796.00 |==============================================================
c . 1266283.94 |===============================================================
VkFFT 1.2.31
Test: FFT + iFFT R2C / C2R
Benchmark Score > Higher Is Better
a . 5585 |====================================================================
b . 5589 |====================================================================
c . 5688 |=====================================================================
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: 200
point/sec > Higher Is Better
a . 640563.22 |===============================================================
b . 644833.00 |===============================================================
c . 655887.03 |================================================================
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 double precision
Benchmark Score > Higher Is Better