Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2185
Single Precision Score
2941
Half Precision Score
1597
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 19 2025 08:25 PM |
| Views | 8 |
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% |
954
177.4 IPS |
|
|
Image Classification (HP)
|
100% |
1069
198.8 IPS |
|
|
Image Classification (Q)
|
99% |
773
144.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
852
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8338
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15160
17.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
7126
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (Q)
|
89% |
844
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
1597
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7267
56.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
3766
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14570
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23679
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11919
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3163
116.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4719
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2224
82.3 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
419
561.0 IPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
60% |
408
9.19 IPS |
