Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2963
Single Precision Score
1294
Half Precision Score
5225
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daviangel |
| Upload Date | March 08 2025 09:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (Q)
|
99% |
4450
829.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
799
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2771
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5067
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
17581
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
86% |
4659
374.4 IPS |
|
|
Face Detection (SP)
|
100% |
4590
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7368
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6514
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1873
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11868
94.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12219
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8705
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16073
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3415
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.3 IPS |
|
|
Text Classification (Q)
|
97% |
1450
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2159
43.4 IPS |
