ASRock Z790 PG Lightning
Geekbench ML Score
1380
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | October 05 2024 11:50 AM |
| Views | 2 |
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% |
664
124.3 IPS |
|
|
Image Classification (F16)
|
100% |
661
123.6 IPS |
|
|
Image Classification (I8)
|
100% |
541
101.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
976
16.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
975
16.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
748
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3917
4.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3922
4.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
2819
3.41 IPS |
|
|
Object Detection (F32)
|
100% |
773
57.7 IPS |
|
|
Object Detection (F16)
|
100% |
775
57.9 IPS |
|
|
Object Detection (I8)
|
54% |
641
47.8 IPS |
|
|
Face Detection (F32)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (I8)
|
89% |
1014
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2905
22.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2904
22.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2216
17.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10403
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10420
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7822
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1726
61.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1729
61.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
942
33.6 IPS |
|
|
Text Classification (F32)
|
100% |
834
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
821
1.18 KIPS |
|
|
Text Classification (I8)
|
98% |
421
604.4 IPS |
|
|
Machine Translation (F32)
|
100% |
708
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (I8)
|
70% |
413
7.60 IPS |
