Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
268
Single Precision Score
127
Half Precision Score
274
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 11:00 AM |
| Views | 3 |
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% |
105
19.5 IPS |
|
|
Image Classification (HP)
|
100% |
32
5.90 IPS |
|
|
Image Classification (Q)
|
97% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
58
0.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
547
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
617
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.63 IPS |
|
|
Object Detection (Q)
|
86% |
110
8.84 IPS |
|
|
Face Detection (SP)
|
100% |
371
4.40 IPS |
|
|
Face Detection (HP)
|
100% |
72
0.85 IPS |
|
|
Face Detection (Q)
|
96% |
380
4.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
165
1.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
397
3.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1265
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1007
1.29 IPS |
|
|
Style Transfer (Q)
|
87% |
1479
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.82 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
206
7.65 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.8 IPS |
|
|
Text Classification (HP)
|
100% |
111
147.6 IPS |
|
|
Text Classification (Q)
|
97% |
94
126.3 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
60% |
228
5.10 IPS |
