Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2801
Single Precision Score
1225
Half Precision Score
4859
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Killumall69 |
| Upload Date | February 03 2025 07:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| 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 DDR4(MS-7D25) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600KF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2393
444.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
99% |
5219
973.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2290
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4946
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3789
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
18774
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
86% |
4706
378.2 IPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
7031
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6393
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1594
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9599
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11260
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8063
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13021
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1931
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3223
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
640
853.7 IPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1746
35.1 IPS |
