ASRock Z790 PG Lightning
Geekbench ML Score
1423
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | March 07 2025 04:00 PM |
| Views | 7 |
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 | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
663
124.0 IPS |
|
|
Image Classification (F16)
|
100% |
662
123.8 IPS |
|
|
Image Classification (I8)
|
100% |
533
99.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
979
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
16.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
750
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5210
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
5199
6.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
3413
4.13 IPS |
|
|
Object Detection (F32)
|
100% |
781
58.3 IPS |
|
|
Object Detection (F16)
|
100% |
780
58.2 IPS |
|
|
Object Detection (I8)
|
54% |
631
47.1 IPS |
|
|
Face Detection (F32)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (I8)
|
89% |
1020
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2959
23.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2959
22.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
2260
17.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10465
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
10462
13.8 IPS |
|
|
Style Transfer (I8)
|
98% |
7885
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1795
64.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1810
64.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
960
34.3 IPS |
|
|
Text Classification (F32)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (I8)
|
98% |
392
563.8 IPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
728
13.4 IPS |
|
|
Machine Translation (I8)
|
70% |
420
7.72 IPS |
