Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
641
Single Precision Score
658
Half Precision Score
672
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 29 2025 05:23 AM |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
100% |
379
70.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
504
8.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
770
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
87% |
419
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
1034
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1035
7.98 IPS |
|
|
Depth Estimation (HP)
|
100% |
1030
7.93 IPS |
|
|
Depth Estimation (Q)
|
79% |
1014
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
2004
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2257
2.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2310
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
468
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.2 IPS |
|
|
Text Classification (HP)
|
100% |
449
598.8 IPS |
|
|
Text Classification (Q)
|
91% |
396
532.3 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
90% |
684
11.9 IPS |
