Micro-Star International Co., Ltd. MS-7E29
Geekbench AI Score
1361
Single Precision Score
1422
Half Precision Score
960
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E29 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P DDR4 II (MS-7E29) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
604
112.3 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.3 IPS |
|
|
Image Classification (Q)
|
100% |
515
95.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3638
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
2687
3.15 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (HP)
|
98% |
590
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
568
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1060
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2446
18.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2696
20.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1875
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7700
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
10826
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
6038
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
771
28.5 IPS |
|
|
Text Classification (SP)
|
100% |
729
973.2 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.2 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.9 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.78 IPS |
