B450M-HDV R4.0
Geekbench AI Score
485
Single Precision Score
484
Half Precision Score
1252
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 2200G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | B450M-HDV R4.0 |
| Motherboard | ASRock B450M-HDV R4.0 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 2200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (HP)
|
100% |
280
52.0 IPS |
|
|
Image Classification (Q)
|
100% |
799
148.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
944
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
1688
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.5 IPS |
|
|
Object Detection (Q)
|
87% |
798
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
2190
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
692
5.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
696
5.36 IPS |
|
|
Depth Estimation (Q)
|
81% |
2079
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1391
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1391
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
4853
6.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
296
10.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1026
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.5 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.2 IPS |
|
|
Text Classification (Q)
|
91% |
683
918.3 IPS |
|
|
Machine Translation (SP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
604
10.4 IPS |
|
|
Machine Translation (Q)
|
100% |
603
10.4 IPS |
