Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2030
Single Precision Score
1051
Half Precision Score
4229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 01:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. MAG H670 TOMAHAWK WIFI DDR4(MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| 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% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (Q)
|
99% |
3758
701.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2091
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
11839
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.6 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
3701
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
5716
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3901
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9016
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7807
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6391
8.22 IPS |
|
|
Style Transfer (Q)
|
98% |
12013
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
613
818.5 IPS |
|
|
Text Classification (Q)
|
97% |
1323
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1410
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (Q)
|
65% |
2282
45.9 IPS |
