Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1701
Single Precision Score
1736
Half Precision Score
1151
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | swooned6444 |
| Upload Date | October 18 2025 03:31 PM |
| Views | 5 |
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 (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (HP)
|
100% |
749
139.3 IPS |
|
|
Image Classification (Q)
|
100% |
618
115.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5292
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5741
6.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
3525
4.13 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
98% |
697
55.5 IPS |
|
|
Object Detection (Q)
|
86% |
686
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
1235
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3413
26.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2294
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10768
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14498
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7995
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1838
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2539
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.9 IPS |
|
|
Machine Translation (SP)
|
100% |
731
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
70% |
394
7.40 IPS |
