ASRock Z790 PG Lightning
Geekbench ML Score
9358
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | February 17 2025 04:37 PM |
| Views | 6 |
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) A580 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4910
918.8 IPS |
|
|
Image Classification (F16)
|
100% |
5005
936.6 IPS |
|
|
Image Classification (I8)
|
99% |
4150
776.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6721
112.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
6712
112.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
6113
102.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
64642
78.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
64324
77.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
52581
63.7 IPS |
|
|
Object Detection (F32)
|
100% |
4483
334.7 IPS |
|
|
Object Detection (F16)
|
100% |
4410
329.2 IPS |
|
|
Object Detection (I8)
|
60% |
2759
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
14064
167.2 IPS |
|
|
Face Detection (F16)
|
100% |
14196
168.8 IPS |
|
|
Face Detection (I8)
|
88% |
10628
126.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
26703
207.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
26605
206.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
21802
169.1 IPS |
|
|
Style Transfer (F32)
|
100% |
141355
185.9 IPS |
|
|
Style Transfer (F16)
|
100% |
140804
185.2 IPS |
|
|
Style Transfer (I8)
|
98% |
105092
138.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15238
544.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15037
537.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11076
395.6 IPS |
|
|
Text Classification (F32)
|
90% |
752
1.08 KIPS |
|
|
Text Classification (F16)
|
90% |
742
1.07 KIPS |
|
|
Text Classification (I8)
|
90% |
585
841.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2333
42.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2329
42.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1318
24.3 IPS |
