ASRock Z790 PG Lightning
Geekbench ML Score
3922
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 12:18 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2239
418.9 IPS |
|
|
Image Classification (F16)
|
100% |
2128
398.3 IPS |
|
|
Image Classification (I8)
|
99% |
3952
739.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1806
30.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1778
29.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2671
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7015
8.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
6853
8.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
23400
28.3 IPS |
|
|
Object Detection (F32)
|
100% |
1991
148.6 IPS |
|
|
Object Detection (F16)
|
100% |
2047
152.8 IPS |
|
|
Object Detection (I8)
|
62% |
1957
146.1 IPS |
|
|
Face Detection (F32)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (F16)
|
100% |
3563
42.4 IPS |
|
|
Face Detection (I8)
|
89% |
4237
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8037
62.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8007
62.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12355
95.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16896
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16773
22.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21633
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3762
134.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3838
137.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5664
202.3 IPS |
|
|
Text Classification (F32)
|
100% |
1683
2.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1670
2.40 KIPS |
|
|
Text Classification (I8)
|
98% |
522
750.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2108
38.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2178
40.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3010
55.4 IPS |
