ASRock Z790 PG Lightning
Geekbench ML Score
9765
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | August 26 2024 11:53 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) A750 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4931
922.7 IPS |
|
|
Image Classification (F16)
|
100% |
4917
920.0 IPS |
|
|
Image Classification (I8)
|
99% |
4102
767.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7082
118.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6962
116.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
6300
105.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
70279
85.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
69569
84.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
57551
69.7 IPS |
|
|
Object Detection (F32)
|
100% |
4597
343.2 IPS |
|
|
Object Detection (F16)
|
100% |
4559
340.4 IPS |
|
|
Object Detection (I8)
|
60% |
4109
306.7 IPS |
|
|
Face Detection (F32)
|
100% |
15204
180.8 IPS |
|
|
Face Detection (F16)
|
100% |
15423
183.4 IPS |
|
|
Face Detection (I8)
|
88% |
11355
135.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
27631
214.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
27470
213.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
22735
176.3 IPS |
|
|
Style Transfer (F32)
|
100% |
153746
202.2 IPS |
|
|
Style Transfer (F16)
|
100% |
153249
201.6 IPS |
|
|
Style Transfer (I8)
|
98% |
116730
153.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15943
569.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16207
578.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11623
415.1 IPS |
|
|
Text Classification (F32)
|
90% |
769
1.11 KIPS |
|
|
Text Classification (F16)
|
90% |
764
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
596
857.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1986
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1985
36.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1252
23.0 IPS |
