B550M Pro4
Geekbench AI Score
5809
Single Precision Score
5832
Half Precision Score
8023
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | bbbboy |
| Upload Date | December 22 2025 02:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| 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% |
3088
574.3 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
100% |
5337
992.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4723
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4773
77.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7602
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8719
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8892
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
20073
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
3725
295.5 IPS |
|
|
Object Detection (HP)
|
100% |
3820
303.0 IPS |
|
|
Object Detection (Q)
|
87% |
6245
500.9 IPS |
|
|
Face Detection (SP)
|
100% |
9173
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
8930
106.1 IPS |
|
|
Face Detection (Q)
|
97% |
18365
219.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9278
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9425
72.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
17574
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26884
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26842
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56842
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5402
199.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10430
386.3 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (Q)
|
91% |
404
543.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2812
48.4 IPS |
