Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
575
Single Precision Score
612
Half Precision Score
665
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | December 12 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega Graphics |
| 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% |
327
60.9 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
100% |
398
74.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
468
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
708
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
730
0.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
754
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.4 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
87% |
372
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
1212
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1060
8.17 IPS |
|
|
Depth Estimation (HP)
|
100% |
993
7.65 IPS |
|
|
Depth Estimation (Q)
|
79% |
977
7.75 IPS |
|
|
Style Transfer (SP)
|
100% |
2181
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2221
2.86 IPS |
|
|
Style Transfer (Q)
|
98% |
2178
2.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
402
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
206
275.1 IPS |
|
|
Text Classification (HP)
|
100% |
384
513.0 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
90% |
686
11.9 IPS |
