ASRock Z790 PG Lightning
Geekbench ML Score
9381
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | September 06 2024 10:11 AM |
| 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) Arc(TM) A580 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4873
911.8 IPS |
|
|
Image Classification (F16)
|
100% |
4753
889.4 IPS |
|
|
Image Classification (I8)
|
99% |
3788
708.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6769
113.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6820
113.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
6063
101.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
64793
78.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
64203
77.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
52628
63.7 IPS |
|
|
Object Detection (F32)
|
100% |
4579
341.8 IPS |
|
|
Object Detection (F16)
|
100% |
4554
339.9 IPS |
|
|
Object Detection (I8)
|
60% |
4107
306.6 IPS |
|
|
Face Detection (F32)
|
100% |
14406
171.3 IPS |
|
|
Face Detection (F16)
|
100% |
14305
170.1 IPS |
|
|
Face Detection (I8)
|
88% |
10844
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26976
209.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
26951
209.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
22043
170.9 IPS |
|
|
Style Transfer (F32)
|
100% |
140648
185.0 IPS |
|
|
Style Transfer (F16)
|
100% |
141228
185.8 IPS |
|
|
Style Transfer (I8)
|
98% |
108506
142.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15566
555.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15040
537.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11102
396.5 IPS |
|
|
Text Classification (F32)
|
90% |
767
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
766
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
569
818.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1957
36.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1957
36.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1247
23.0 IPS |
