Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
24555
Single Precision Score
43818
Half Precision Score
19052
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 18 2025 03:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
9783
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
16969
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
9160
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17955
291.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26159
424.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16210
263.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
135537
158.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
422080
492.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
125992
147.6 IPS |
|
|
Object Detection (SP)
|
100% |
12361
980.5 IPS |
|
|
Object Detection (HP)
|
100% |
20530
1.63 KIPS |
|
|
Object Detection (Q)
|
83% |
10647
860.2 IPS |
|
|
Face Detection (SP)
|
100% |
31906
379.1 IPS |
|
|
Face Detection (HP)
|
100% |
49430
587.3 IPS |
|
|
Face Detection (Q)
|
97% |
28043
334.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59760
460.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
121319
934.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
48388
386.2 IPS |
|
|
Style Transfer (SP)
|
100% |
191027
245.6 IPS |
|
|
Style Transfer (HP)
|
100% |
639861
822.6 IPS |
|
|
Style Transfer (Q)
|
98% |
165070
212.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35708
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65517
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27694
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4620
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2360
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5495
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5842
100.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2161
40.5 IPS |
