Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4492
Single Precision Score
1694
Half Precision Score
7911
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 17 2025 03:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3954
735.4 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.1 IPS |
|
|
Image Classification (Q)
|
99% |
6862
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9711
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
26348
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
6959
559.2 IPS |
|
|
Face Detection (SP)
|
100% |
9287
110.4 IPS |
|
|
Face Detection (HP)
|
100% |
1792
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9854
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10241
78.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2425
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16659
132.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16428
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20314
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3082
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5681
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2953
59.3 IPS |
