Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2070
Single Precision Score
1150
Half Precision Score
4855
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| 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 DDR4 (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
99% |
5143
959.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2592
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
12423
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.4 IPS |
|
|
Object Detection (Q)
|
86% |
5079
408.2 IPS |
|
|
Face Detection (SP)
|
100% |
2547
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
5996
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3868
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1601
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9553
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7243
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
6641
8.54 IPS |
|
|
Style Transfer (Q)
|
98% |
10263
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
735
980.6 IPS |
|
|
Text Classification (Q)
|
97% |
1687
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2560
51.4 IPS |
