Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
1315
Single Precision Score
1368
Half Precision Score
931
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 10:44 AM |
| Views | 2 |
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-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| 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% |
594
110.5 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.4 IPS |
|
|
Image Classification (Q)
|
100% |
509
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
896
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
643
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3596
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
2651
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (HP)
|
98% |
560
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
545
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
1323
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1393
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1021
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2406
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2639
20.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1842
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7595
9.76 IPS |
|
|
Style Transfer (HP)
|
100% |
10653
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
5960
7.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1337
49.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
756
28.0 IPS |
|
|
Text Classification (SP)
|
100% |
717
957.1 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.0 IPS |
|
|
Text Classification (Q)
|
97% |
372
498.4 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
70% |
330
6.19 IPS |
