Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
1258
Single Precision Score
1314
Half Precision Score
891
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:20 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 i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
556
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (Q)
|
100% |
476
88.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
609
9.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
3464
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2551
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
98% |
540
43.0 IPS |
|
|
Object Detection (Q)
|
86% |
524
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
966
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2323
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2551
19.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1773
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7337
9.43 IPS |
|
|
Style Transfer (HP)
|
100% |
10276
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5693
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
729
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
676
902.8 IPS |
|
|
Text Classification (HP)
|
100% |
419
558.6 IPS |
|
|
Text Classification (Q)
|
97% |
362
484.4 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (HP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (Q)
|
70% |
319
5.98 IPS |
