Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
1828
Single Precision Score
1045
Half Precision Score
4281
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100F |
| 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 DDR4 (MS-7D46) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| 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% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.4 IPS |
|
|
Image Classification (Q)
|
99% |
3268
609.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3675
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
9298
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
86% |
3265
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
5016
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3183
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7194
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5975
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
4749
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
11528
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3749
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
721
961.9 IPS |
|
|
Text Classification (Q)
|
97% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2466
49.5 IPS |
