Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3371
Single Precision Score
5339
Half Precision Score
2470
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 740M Graphics |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (Q)
|
100% |
1223
227.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1309
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11916
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31636
36.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
9132
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (Q)
|
87% |
1134
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (Q)
|
97% |
1926
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10477
80.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5380
43.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25564
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44380
57.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18888
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5513
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10365
382.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3360
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
70% |
668
12.5 IPS |
