ASRock Z790 PG Lightning
Geekbench ML Score
10572
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | September 04 2025 04:25 PM |
| Views | 9 |
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% |
5361
1.00 KIPS |
|
|
Image Classification (F16)
|
100% |
5226
978.0 IPS |
|
|
Image Classification (I8)
|
99% |
4295
803.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7421
123.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7491
125.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6779
113.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
79634
96.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
79431
96.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65391
79.2 IPS |
|
|
Object Detection (F32)
|
100% |
4849
362.0 IPS |
|
|
Object Detection (F16)
|
100% |
4870
363.6 IPS |
|
|
Object Detection (I8)
|
60% |
4422
330.2 IPS |
|
|
Face Detection (F32)
|
100% |
16139
191.9 IPS |
|
|
Face Detection (F16)
|
100% |
16250
193.2 IPS |
|
|
Face Detection (I8)
|
88% |
12245
145.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
28238
219.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
28716
222.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
24470
189.8 IPS |
|
|
Style Transfer (F32)
|
100% |
168119
221.1 IPS |
|
|
Style Transfer (F16)
|
100% |
169658
223.2 IPS |
|
|
Style Transfer (I8)
|
98% |
130559
171.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17136
612.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16528
590.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12698
453.5 IPS |
|
|
Text Classification (F32)
|
90% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
90% |
802
1.15 KIPS |
|
|
Text Classification (I8)
|
90% |
614
881.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2419
44.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1361
25.0 IPS |
