Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
296
Single Precision Score
143
Half Precision Score
294
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 12:37 PM |
| Views | 8 |
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% |
150
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
35
6.48 IPS |
|
|
Image Classification (Q)
|
97% |
147
27.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
208
3.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
447
0.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
508
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.82 IPS |
|
|
Object Detection (Q)
|
86% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (HP)
|
100% |
87
1.04 IPS |
|
|
Face Detection (Q)
|
96% |
467
5.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
404
3.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
189
1.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
420
3.38 IPS |
|
|
Style Transfer (SP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1295
1.67 IPS |
|
|
Style Transfer (Q)
|
87% |
1558
2.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
264
9.77 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.3 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.6 IPS |
|
|
Text Classification (Q)
|
97% |
105
140.8 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.42 IPS |
|
|
Machine Translation (Q)
|
60% |
272
6.07 IPS |
