Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2103183-IB-10600KPRE35
10600K pre RKL
Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
1:
Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: LG Ultra HD, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
2:
Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: LG Ultra HD, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
3:
Processor: Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads), Motherboard: ASUS PRIME Z490M-PLUS (1001 BIOS), Chipset: Intel Comet Lake PCH, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: LG Ultra HD, Network: Intel
OS: Ubuntu 20.04, Kernel: 5.9.0-050900daily20201012-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.0.8, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160
Timed Node.js Compilation 15.11
Time To Compile
Seconds < Lower Is Better
1 . 596.49 |===================================================================
2 . 596.97 |===================================================================
3 . 597.22 |===================================================================
ASTC Encoder 2.4
Preset: Exhaustive
Seconds < Lower Is Better
1 . 144.63 |===================================================================
2 . 144.59 |===================================================================
3 . 143.53 |==================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 193 Cells Per Direction
Seconds < Lower Is Better
1 . 131.98 |==================================================================
2 . 131.82 |==================================================================
3 . 133.00 |===================================================================
SVT-HEVC 1.5.0
Tuning: 1 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 5.43 |=====================================================================
2 . 5.44 |=====================================================================
3 . 5.44 |=====================================================================
AOM AV1 2.1-rc
Encoder Mode: Speed 4 Two-Pass
Frames Per Second > Higher Is Better
1 . 5.96 |=====================================================================
2 . 5.97 |=====================================================================
3 . 5.97 |=====================================================================
Sysbench 1.0.20
Test: CPU
Events Per Second > Higher Is Better
1 . 14374.26 |=================================================================
2 . 14373.47 |=================================================================
3 . 14375.35 |=================================================================
AOM AV1 2.1-rc
Encoder Mode: Speed 0 Two-Pass
Frames Per Second > Higher Is Better
1 . 0.23 |=====================================================================
2 . 0.23 |=====================================================================
3 . 0.23 |=====================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
1 . 4002.18 |==================================================================
2 . 3995.94 |==================================================================
3 . 3987.15 |==================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 3992.29 |==================================================================
2 . 3996.07 |==================================================================
3 . 3987.23 |==================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 3990.01 |==================================================================
2 . 3998.99 |==================================================================
3 . 3986.56 |==================================================================
Mobile Neural Network 1.1.3
Model: inception-v3
ms < Lower Is Better
1 . 33.77 |====================================================================
2 . 33.98 |====================================================================
3 . 33.93 |====================================================================
Mobile Neural Network 1.1.3
Model: mobilenet-v1-1.0
ms < Lower Is Better
1 . 3.260 |====================================================================
2 . 3.240 |====================================================================
3 . 3.231 |===================================================================
Mobile Neural Network 1.1.3
Model: MobileNetV2_224
ms < Lower Is Better
1 . 2.546 |====================================================================
2 . 2.549 |====================================================================
3 . 2.559 |====================================================================
Mobile Neural Network 1.1.3
Model: resnet-v2-50
ms < Lower Is Better
1 . 28.55 |====================================================================
2 . 28.58 |====================================================================
3 . 28.47 |====================================================================
Mobile Neural Network 1.1.3
Model: SqueezeNetV1.0
ms < Lower Is Better
1 . 4.514 |====================================================================
2 . 4.508 |====================================================================
3 . 4.452 |===================================================================
Basis Universal 1.13
Settings: UASTC Level 3
Seconds < Lower Is Better
1 . 79.67 |====================================================================
2 . 79.68 |====================================================================
3 . 79.66 |====================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 2379.62 |=================================================================
2 . 2403.36 |==================================================================
3 . 2374.75 |=================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2381.10 |==================================================================
2 . 2394.46 |==================================================================
3 . 2372.73 |=================================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
1 . 2382.71 |==================================================================
2 . 2397.83 |==================================================================
3 . 2372.19 |=================================================================
Timed Mesa Compilation 21.0
Time To Compile
Seconds < Lower Is Better
1 . 69.65 |====================================================================
2 . 69.69 |====================================================================
3 . 69.81 |====================================================================
simdjson 0.8.2
Throughput Test: PartialTweets
GB/s > Higher Is Better
1 . 4.30 |=====================================================================
2 . 4.29 |=====================================================================
3 . 4.29 |=====================================================================
simdjson 0.8.2
Throughput Test: DistinctUserID
GB/s > Higher Is Better
1 . 4.92 |=====================================================================
2 . 4.92 |=====================================================================
3 . 4.92 |=====================================================================
simdjson 0.8.2
Throughput Test: Kostya
GB/s > Higher Is Better
1 . 3.06 |=====================================================================
2 . 3.05 |=====================================================================
3 . 3.05 |=====================================================================
simdjson 0.8.2
Throughput Test: LargeRandom
GB/s > Higher Is Better
1 . 1.1 |======================================================================
2 . 1.1 |======================================================================
3 . 1.1 |======================================================================
AOM AV1 2.1-rc
Encoder Mode: Speed 6 Two-Pass
Frames Per Second > Higher Is Better
1 . 17.05 |====================================================================
2 . 17.09 |====================================================================
3 . 17.06 |====================================================================
Basis Universal 1.13
Settings: UASTC Level 2
Seconds < Lower Is Better
1 . 41.23 |====================================================================
2 . 41.21 |====================================================================
3 . 41.22 |====================================================================
Xcompact3d Incompact3d 2021-03-11
Input: input.i3d 129 Cells Per Direction
Seconds < Lower Is Better
1 . 37.29 |==================================================================
2 . 38.21 |====================================================================
3 . 37.77 |===================================================================
AOM AV1 2.1-rc
Encoder Mode: Speed 6 Realtime
Frames Per Second > Higher Is Better
1 . 20.83 |====================================================================
2 . 20.67 |===================================================================
3 . 20.75 |====================================================================
Basis Universal 1.13
Settings: ETC1S
Seconds < Lower Is Better
1 . 25.52 |====================================================================
2 . 25.51 |====================================================================
3 . 25.37 |====================================================================
ASTC Encoder 2.4
Preset: Thorough
Seconds < Lower Is Better
1 . 18.33 |====================================================================
2 . 18.34 |====================================================================
3 . 18.29 |====================================================================
oneDNN 2.1.2
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 10.04714 |=================================================================
2 . 10.08070 |=================================================================
3 . 9.98148 |================================================================
oneDNN 2.1.2
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2.66876 |==================================================================
2 . 2.65983 |==================================================================
3 . 2.65906 |==================================================================
oneDNN 2.1.2
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 4.32120 |==================================================================
2 . 4.31466 |==================================================================
3 . 4.28025 |=================================================================
oneDNN 2.1.2
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2.04154 |==================================================================
2 . 2.03699 |==================================================================
3 . 2.01397 |=================================================================
oneDNN 2.1.2
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 3.38413 |==================================================================
2 . 3.37849 |==================================================================
3 . 3.39558 |==================================================================
oneDNN 2.1.2
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 3.46010 |==================================================================
2 . 3.47494 |==================================================================
3 . 3.46459 |==================================================================
oneDNN 2.1.2
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 7.66238 |=================================================================
2 . 7.73529 |==================================================================
3 . 7.47684 |================================================================
oneDNN 2.1.2
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 2.39200 |==================================================================
2 . 2.38521 |==================================================================
3 . 2.39279 |==================================================================
Basis Universal 1.13
Settings: UASTC Level 0
Seconds < Lower Is Better
1 . 7.600 |====================================================================
2 . 7.601 |====================================================================
3 . 7.603 |====================================================================
SVT-HEVC 1.5.0
Tuning: 7 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 86.08 |====================================================================
2 . 86.61 |====================================================================
3 . 86.69 |====================================================================
AOM AV1 2.1-rc
Encoder Mode: Speed 8 Realtime
Frames Per Second > Higher Is Better
1 . 96.50 |====================================================================
2 . 96.22 |====================================================================
3 . 96.59 |====================================================================
oneDNN 2.1.2
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 15.11 |====================================================================
2 . 15.12 |====================================================================
3 . 15.08 |====================================================================
oneDNN 2.1.2
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 13.73 |===================================================================
2 . 13.81 |====================================================================
3 . 13.84 |====================================================================
ASTC Encoder 2.4
Preset: Medium
Seconds < Lower Is Better
1 . 6.0128 |===================================================================
2 . 6.0240 |===================================================================
3 . 6.0152 |===================================================================
SVT-VP9 0.3
Tuning: Visual Quality Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 119.95 |===================================================================
2 . 120.03 |===================================================================
3 . 120.00 |===================================================================
SVT-VP9 0.3
Tuning: VMAF Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 149.76 |===================================================================
2 . 149.49 |===================================================================
3 . 149.77 |===================================================================
SVT-VP9 0.3
Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 152.32 |===================================================================
2 . 151.96 |===================================================================
3 . 152.34 |===================================================================
Sysbench 1.0.20
Test: RAM / Memory
MiB/sec > Higher Is Better
1 . 26132.76 |=================================================================
2 . 25903.89 |================================================================
3 . 26135.31 |=================================================================
SVT-HEVC 1.5.0
Tuning: 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
1 . 185.05 |===================================================================
2 . 185.25 |===================================================================
3 . 184.69 |===================================================================
oneDNN 2.1.2
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
1 . 8.51089 |==================================================================
2 . 8.51927 |==================================================================
3 . 8.52282 |==================================================================
oneDNN 2.1.2
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
1 . 5.36600 |==================================================================
2 . 5.31671 |=================================================================
3 . 5.36398 |==================================================================