ASRock Z790 PG Lightning
Geekbench ML Score
13896
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | September 12 2025 03:57 PM |
| Views | 10 |
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 | NVIDIA GeForce RTX 5050 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6479
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6374
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5824
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10041
167.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9935
165.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9186
153.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
67932
82.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
68562
83.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
67673
81.9 IPS |
|
|
Object Detection (F32)
|
100% |
5732
427.9 IPS |
|
|
Object Detection (F16)
|
100% |
5672
423.4 IPS |
|
|
Object Detection (I8)
|
60% |
5374
401.2 IPS |
|
|
Face Detection (F32)
|
100% |
17739
210.9 IPS |
|
|
Face Detection (F16)
|
100% |
17644
209.8 IPS |
|
|
Face Detection (I8)
|
89% |
14965
177.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
36697
284.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
36544
283.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
32384
251.1 IPS |
|
|
Style Transfer (F32)
|
100% |
108243
142.4 IPS |
|
|
Style Transfer (F16)
|
100% |
108806
143.1 IPS |
|
|
Style Transfer (I8)
|
98% |
91249
120.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22561
805.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23207
828.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17615
629.1 IPS |
|
|
Text Classification (F32)
|
100% |
3354
4.82 KIPS |
|
|
Text Classification (F16)
|
100% |
3257
4.68 KIPS |
|
|
Text Classification (I8)
|
98% |
2171
3.12 KIPS |
|
|
Machine Translation (F32)
|
100% |
3975
73.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3899
71.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2156
39.7 IPS |
