Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3751
Single Precision Score
3775
Half Precision Score
9009
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daviangel |
| Upload Date | March 08 2025 09:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
100% |
4995
929.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5685
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4961
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4733
5.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
19185
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (Q)
|
88% |
5943
476.4 IPS |
|
|
Face Detection (SP)
|
100% |
5027
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
5379
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
14561
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6458
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5840
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
16356
127.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15143
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14633
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38069
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2773
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8803
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
4298
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3171
54.6 IPS |
