Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2395
Single Precision Score
1176
Half Precision Score
2982
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 11:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450 GAMING PLUS MAX (MS-7B86) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
3050
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4831
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
5293
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
58% |
1720
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
4917
58.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1799
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5645
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10668
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9072
11.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9170
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2106
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1269
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
588
785.3 IPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1726
33.4 IPS |
