Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
2167
Single Precision Score
1185
Half Precision Score
4800
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 11:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| 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 i5-12400F |
| 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% |
1523
283.2 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
99% |
4457
831.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2216
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2757
3.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
13809
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
86% |
4170
335.1 IPS |
|
|
Face Detection (SP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
6525
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3972
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1675
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10532
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7474
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6484
8.34 IPS |
|
|
Style Transfer (Q)
|
98% |
13296
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1326
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3307
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
737
984.2 IPS |
|
|
Text Classification (Q)
|
97% |
1506
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2511
50.5 IPS |
