Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
330
Single Precision Score
148
Half Precision Score
320
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | May 16 2025 04:50 AM |
| 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% |
37
6.88 IPS |
|
|
Image Classification (Q)
|
97% |
186
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
225
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
507
0.59 IPS |
|
|
Pose Estimation (Q)
|
87% |
666
0.79 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
51
4.03 IPS |
|
|
Object Detection (Q)
|
86% |
167
13.4 IPS |
|
|
Face Detection (SP)
|
100% |
416
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
88
1.05 IPS |
|
|
Face Detection (Q)
|
96% |
441
5.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
76% |
469
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1610
2.07 IPS |
|
|
Style Transfer (HP)
|
100% |
1276
1.64 IPS |
|
|
Style Transfer (Q)
|
87% |
1515
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
256
9.50 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.7 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (Q)
|
97% |
116
154.9 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (Q)
|
60% |
264
5.90 IPS |
