ASRock X570M Pro4
Geekbench AI Score
3333
Single Precision Score
7280
Half Precision Score
2573
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 05:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock X570M Pro4 |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 22 Cores |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.07 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.0 IPS |
|
|
Image Classification (Q)
|
100% |
1275
237.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7662
124.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1389
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13980
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20826
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12032
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
5021
399.4 IPS |
|
|
Object Detection (Q)
|
86% |
1362
109.5 IPS |
|
|
Face Detection (SP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
9315
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
1063
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8156
62.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
21241
164.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
6764
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44545
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73196
94.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32345
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7674
283.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10036
370.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.5 IPS |
|
|
Text Classification (SP)
|
86% |
632
854.2 IPS |
|
|
Text Classification (HP)
|
99% |
585
780.9 IPS |
|
|
Text Classification (Q)
|
84% |
413
560.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
70% |
947
17.8 IPS |
