B550M Pro4
Geekbench AI Score
3792
Single Precision Score
1559
Half Precision Score
6024
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bbbboy |
| Upload Date | December 22 2025 02:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2824
525.2 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
96% |
5525
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
7333
119.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8277
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
17063
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2753
218.4 IPS |
|
|
Object Detection (HP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (Q)
|
58% |
4215
460.5 IPS |
|
|
Face Detection (SP)
|
100% |
5944
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
8937
106.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12988
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17342
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15581
20.0 IPS |
|
|
Style Transfer (Q)
|
87% |
17882
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1729
63.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3387
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1321
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
669
893.3 IPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2787
53.8 IPS |
