Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
281
Single Precision Score
132
Half Precision Score
289
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | December 12 2024 07:34 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% |
85
15.8 IPS |
|
|
Image Classification (HP)
|
100% |
30
5.63 IPS |
|
|
Image Classification (Q)
|
97% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
50
0.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
222
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
564
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
610
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.58 IPS |
|
|
Object Detection (Q)
|
86% |
158
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
82
0.97 IPS |
|
|
Face Detection (Q)
|
96% |
437
5.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
179
1.38 IPS |
|
|
Depth Estimation (Q)
|
76% |
449
3.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1284
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1080
1.39 IPS |
|
|
Style Transfer (Q)
|
87% |
1206
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
227
8.39 IPS |
|
|
Text Classification (SP)
|
100% |
199
266.0 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.4 IPS |
|
|
Text Classification (Q)
|
97% |
125
167.6 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (Q)
|
60% |
249
5.56 IPS |
