Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5383
Single Precision Score
5504
Half Precision Score
13154
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 17 2025 04:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| 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% |
3152
586.2 IPS |
|
|
Image Classification (HP)
|
100% |
3830
712.3 IPS |
|
|
Image Classification (Q)
|
100% |
8926
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4741
76.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4957
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8708
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7794
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
7345
8.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
26826
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (Q)
|
88% |
9171
735.1 IPS |
|
|
Face Detection (SP)
|
100% |
5810
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
5826
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
12923
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7725
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8809
67.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21885
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22907
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23511
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78642
101.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14992
555.2 IPS |
|
|
Text Classification (SP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
92% |
5066
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4932
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4804
82.7 IPS |
