Micro-Star International Co., Ltd. MS-7D41
Geekbench AI Score
2482
Single Precision Score
1268
Half Precision Score
5357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maxime72 |
| Upload Date | May 09 2025 12:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D41 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660 TOMAHAWK WIFI DDR4 (MS-7D41) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1800
334.7 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
5104
952.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
14380
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1638
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
4729
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
7136
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4842
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1735
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11768
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8321
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7471
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
15100
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1502
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3167
63.6 IPS |
