Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3123
Single Precision Score
1488
Half Precision Score
5822
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2427
451.4 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
99% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3088
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4872
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
17322
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
6070
487.8 IPS |
|
|
Face Detection (SP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
8513
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6549
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2344
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6587
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12025
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10056
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23694
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3384
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.8 IPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2960
59.5 IPS |
