Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1709
Single Precision Score
1704
Half Precision Score
1159
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 17 2025 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.0 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
782
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5766
6.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
3506
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
98% |
690
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
689
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1818
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3078
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3380
26.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2280
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10709
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14503
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7980
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
402
537.0 IPS |
|
|
Text Classification (Q)
|
97% |
436
584.2 IPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (Q)
|
70% |
393
7.38 IPS |
