Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2410
Single Precision Score
3551
Half Precision Score
5642
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 17 2025 04:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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 WIFI (MS-7D25) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1502
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (Q)
|
99% |
3800
708.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2347
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3777
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5638
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4148
4.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
3097
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
12936
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
2196
174.7 IPS |
|
|
Object Detection (Q)
|
90% |
3864
309.0 IPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
6855
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
9916
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4676
36.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7961
61.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10920
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10824
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18825
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
28934
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3121
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5987
221.7 IPS |
|
|
Text Classification (SP)
|
71% |
857
1.24 KIPS |
|
|
Text Classification (HP)
|
71% |
957
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
991
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1654
28.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1644
28.3 IPS |
