X570M Pro4
Geekbench AI Score
3165
Single Precision Score
1210
Half Precision Score
4512
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 07:19 PM |
| Views | 10 |
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% |
3015
560.7 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
96% |
4615
861.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
2710
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6709
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
13236
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
58% |
3551
388.0 IPS |
|
|
Face Detection (SP)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
8246
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8094
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
7374
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12229
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12374
15.9 IPS |
|
|
Style Transfer (Q)
|
87% |
17893
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.2 IPS |
|
|
Text Classification (Q)
|
97% |
1062
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
68% |
2072
40.0 IPS |
