Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3090
Single Precision Score
1369
Half Precision Score
5492
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
99% |
4821
899.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2829
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5062
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
17237
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
5251
422.0 IPS |
|
|
Face Detection (SP)
|
100% |
5060
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
1460
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
7608
90.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6594
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1991
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11753
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11587
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8837
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16318
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.5 IPS |
|
|
Text Classification (Q)
|
97% |
1483
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2498
50.2 IPS |
