ASRock Z790 PG Lightning
Geekbench ML Score
4349
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | September 04 2025 04:22 PM |
| Views | 8 |
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% |
2374
444.2 IPS |
|
|
Image Classification (F16)
|
100% |
2319
434.0 IPS |
|
|
Image Classification (I8)
|
99% |
4265
798.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1920
32.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2024
33.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3805
63.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7848
9.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
7690
9.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
25368
30.7 IPS |
|
|
Object Detection (F32)
|
100% |
2336
174.4 IPS |
|
|
Object Detection (F16)
|
100% |
2207
164.8 IPS |
|
|
Object Detection (I8)
|
62% |
2306
172.1 IPS |
|
|
Face Detection (F32)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (F16)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (I8)
|
89% |
4600
54.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8674
67.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8228
63.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14342
111.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18196
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
18067
23.8 IPS |
|
|
Style Transfer (I8)
|
98% |
20321
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3689
131.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4017
143.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5056
180.6 IPS |
|
|
Text Classification (F32)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1776
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1371
1.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1882
34.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2210
40.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3446
63.4 IPS |
