Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
275
Single Precision Score
127
Half Precision Score
279
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 15 2024 04:14 PM |
| Views | 3 |
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% |
134
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
36
6.75 IPS |
|
|
Image Classification (Q)
|
97% |
164
30.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
178
2.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (Q)
|
87% |
580
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
40
3.18 IPS |
|
|
Object Detection (Q)
|
86% |
113
9.08 IPS |
|
|
Face Detection (SP)
|
100% |
345
4.09 IPS |
|
|
Face Detection (HP)
|
100% |
78
0.93 IPS |
|
|
Face Detection (Q)
|
96% |
440
5.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
164
1.27 IPS |
|
|
Depth Estimation (Q)
|
76% |
399
3.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1274
1.64 IPS |
|
|
Style Transfer (Q)
|
87% |
1462
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
214
7.93 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.3 IPS |
|
|
Text Classification (HP)
|
100% |
95
127.3 IPS |
|
|
Text Classification (Q)
|
97% |
109
146.5 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (Q)
|
60% |
253
5.65 IPS |
