Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
285
Single Precision Score
124
Half Precision Score
268
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | December 11 2024 06:13 PM |
| Views | 15 |
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% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.22 IPS |
|
|
Image Classification (Q)
|
97% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
172
2.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
53
0.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
200
3.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
566
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.21 IPS |
|
|
Object Detection (Q)
|
86% |
129
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (HP)
|
100% |
70
0.83 IPS |
|
|
Face Detection (Q)
|
96% |
453
5.40 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
164
1.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
393
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1228
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1094
1.41 IPS |
|
|
Style Transfer (Q)
|
87% |
1173
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
181
6.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.16 IPS |
|
|
Text Classification (SP)
|
100% |
188
250.8 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.0 IPS |
|
|
Text Classification (Q)
|
97% |
90
120.4 IPS |
|
|
Machine Translation (SP)
|
100% |
259
4.46 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
60% |
243
5.43 IPS |
