Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
336
Single Precision Score
149
Half Precision Score
323
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | January 16 2025 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| 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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
38
7.02 IPS |
|
|
Image Classification (Q)
|
97% |
208
38.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
214
3.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
636
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (Q)
|
86% |
197
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
85
1.01 IPS |
|
|
Face Detection (Q)
|
96% |
417
4.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
76% |
476
3.83 IPS |
|
|
Style Transfer (SP)
|
100% |
1538
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1343
1.73 IPS |
|
|
Style Transfer (Q)
|
87% |
1515
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
217
8.02 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.31 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.4 IPS |
|
|
Text Classification (HP)
|
100% |
126
167.5 IPS |
|
|
Text Classification (Q)
|
97% |
103
137.7 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (Q)
|
60% |
290
6.46 IPS |
