ASRock Z790 PG Lightning
Geekbench ML Score
10576
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | April 14 2025 02:35 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 | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5268
985.9 IPS |
|
|
Image Classification (F16)
|
100% |
5317
994.9 IPS |
|
|
Image Classification (I8)
|
99% |
4476
837.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7373
123.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7635
127.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
6805
113.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
83243
100.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
83269
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
67661
81.9 IPS |
|
|
Object Detection (F32)
|
100% |
4954
369.8 IPS |
|
|
Object Detection (F16)
|
100% |
4869
363.5 IPS |
|
|
Object Detection (I8)
|
60% |
3973
296.6 IPS |
|
|
Face Detection (F32)
|
100% |
16298
193.8 IPS |
|
|
Face Detection (F16)
|
100% |
16264
193.4 IPS |
|
|
Face Detection (I8)
|
88% |
12398
147.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
29375
227.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
29254
226.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
24252
188.1 IPS |
|
|
Style Transfer (F32)
|
100% |
173987
228.9 IPS |
|
|
Style Transfer (F16)
|
100% |
172809
227.3 IPS |
|
|
Style Transfer (I8)
|
98% |
131718
173.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16153
576.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16667
595.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12353
441.2 IPS |
|
|
Text Classification (F32)
|
90% |
813
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
743
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
610
876.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2372
43.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2330
42.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1355
24.9 IPS |
