X570M Pro4
Geekbench AI Score
4199
Single Precision Score
1466
Half Precision Score
6164
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 01 2025 05:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570M Pro4 |
| Motherboard | ASRock X570M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3137
583.4 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
96% |
6373
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
3218
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9834
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
20229
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
3144
249.4 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
58% |
4830
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
1417
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
9958
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9989
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2292
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14871
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20869
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (Q)
|
87% |
21326
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1813
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3176
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
569
759.8 IPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2983
57.6 IPS |
