B550M Pro4
Geekbench AI Score
2450
Single Precision Score
1072
Half Precision Score
3645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 12:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1831
340.6 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.9 IPS |
|
|
Image Classification (Q)
|
96% |
3369
629.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3129
3.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
7800
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
2330
254.6 IPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
6053
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4766
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7554
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9250
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7557
9.71 IPS |
|
|
Style Transfer (Q)
|
87% |
11598
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2094
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.2 IPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1733
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2629
50.8 IPS |
