Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2179
Single Precision Score
2876
Half Precision Score
1582
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 24 2025 09:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | conomie d'nergie |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
940
174.8 IPS |
|
|
Image Classification (HP)
|
100% |
1166
216.9 IPS |
|
|
Image Classification (Q)
|
99% |
685
127.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8352
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15319
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
7132
8.35 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (Q)
|
89% |
864
69.2 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
1650
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7584
58.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
3817
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14496
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23922
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11957
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2742
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2091
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
745
995.0 IPS |
|
|
Text Classification (HP)
|
100% |
630
841.4 IPS |
|
|
Text Classification (Q)
|
97% |
413
553.0 IPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (Q)
|
60% |
402
9.06 IPS |
