Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2328
Single Precision Score
3059
Half Precision Score
1759
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 08 2026 04:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1014
188.6 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
100% |
901
167.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8356
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15110
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
7028
8.23 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (Q)
|
88% |
940
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1966
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7706
59.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3956
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14536
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24004
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11837
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2194
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
495
663.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
545
10.2 IPS |
