Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
2864
Single Precision Score
1415
Half Precision Score
7161
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 10:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| 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 | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
5917
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6077
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3750
4.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3338
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
18276
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
6968
560.0 IPS |
|
|
Face Detection (SP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
8981
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14036
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10747
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8464
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17625
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4077
81.9 IPS |
