ASRock Z790 PG Lightning
Geekbench ML Score
1416
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | December 12 2025 03:00 PM |
| Views | 5 |
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% |
658
123.2 IPS |
|
|
Image Classification (F16)
|
100% |
669
125.2 IPS |
|
|
Image Classification (I8)
|
100% |
535
100.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
977
16.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
750
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5172
6.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
5176
6.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
3410
4.13 IPS |
|
|
Object Detection (F32)
|
100% |
758
56.6 IPS |
|
|
Object Detection (F16)
|
100% |
780
58.2 IPS |
|
|
Object Detection (I8)
|
54% |
629
46.9 IPS |
|
|
Face Detection (F32)
|
100% |
1435
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (I8)
|
89% |
1013
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2935
22.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2938
22.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2240
17.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10419
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10429
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7890
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1803
64.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1783
63.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
957
34.2 IPS |
|
|
Text Classification (F32)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
829
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
389
558.5 IPS |
|
|
Machine Translation (F32)
|
100% |
713
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
712
13.1 IPS |
|
|
Machine Translation (I8)
|
70% |
416
7.65 IPS |
