Micro-Star International Co., Ltd. MS-7E44
Geekbench AI Score
1341
Single Precision Score
1397
Half Precision Score
945
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 11:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E44 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-S DDR4 (MS-7E44) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
597
110.9 IPS |
|
|
Image Classification (Q)
|
100% |
494
91.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
2665
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
545
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1035
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2425
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2660
20.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1853
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7695
9.89 IPS |
|
|
Style Transfer (HP)
|
100% |
10817
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
6004
7.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1961
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
773
28.6 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.2 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.9 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
356
6.67 IPS |
