Micro-Star International Co., Ltd. MS-7D37
Geekbench AI Score
3028
Single Precision Score
1282
Half Precision Score
5525
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 04:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D37 |
| Motherboard | MSI PRO B660M-A CEC WIFI DDR4 V2 (MS-7D37) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (Q)
|
99% |
4973
927.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2780
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5069
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
5445
437.6 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7231
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5937
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1822
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12343
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11532
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8067
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17119
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
657
876.8 IPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2783
55.9 IPS |
