Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
332
Single Precision Score
146
Half Precision Score
309
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 11 2024 07:47 PM |
| Views | 4 |
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% |
154
28.7 IPS |
|
|
Image Classification (HP)
|
100% |
38
6.99 IPS |
|
|
Image Classification (Q)
|
97% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
220
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
595
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (Q)
|
87% |
650
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.02 IPS |
|
|
Object Detection (Q)
|
86% |
143
11.5 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
85
1.01 IPS |
|
|
Face Detection (Q)
|
96% |
439
5.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
76% |
473
3.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1488
1.91 IPS |
|
|
Style Transfer (HP)
|
100% |
1300
1.67 IPS |
|
|
Style Transfer (Q)
|
87% |
1512
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
210
7.76 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
264
9.78 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.4 IPS |
|
|
Text Classification (HP)
|
100% |
115
153.1 IPS |
|
|
Text Classification (Q)
|
97% |
104
138.9 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
144
2.48 IPS |
|
|
Machine Translation (Q)
|
60% |
279
6.23 IPS |
