B550M Pro4
Geekbench AI Score
21056
Single Precision Score
37636
Half Precision Score
16591
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 12:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
8530
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
14809
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
7876
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15005
243.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21276
344.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13835
225.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
120947
141.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
375959
438.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
112702
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
10911
865.5 IPS |
|
|
Object Detection (HP)
|
100% |
18473
1.47 KIPS |
|
|
Object Detection (Q)
|
83% |
9481
766.0 IPS |
|
|
Face Detection (SP)
|
100% |
28491
338.5 IPS |
|
|
Face Detection (HP)
|
100% |
45325
538.6 IPS |
|
|
Face Detection (Q)
|
97% |
25042
298.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53091
409.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106236
818.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
42874
342.2 IPS |
|
|
Style Transfer (SP)
|
100% |
168602
216.7 IPS |
|
|
Style Transfer (HP)
|
100% |
555892
714.6 IPS |
|
|
Style Transfer (Q)
|
98% |
147608
190.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30656
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57223
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23837
882.7 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4868
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |
