Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3156
Single Precision Score
1346
Half Precision Score
4640
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daviangel |
| Upload Date | January 26 2025 07:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| 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 DDR4(MS-7D25) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| 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% |
2386
443.7 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
4625
862.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2235
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5257
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
18150
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
4487
360.6 IPS |
|
|
Face Detection (SP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (HP)
|
100% |
1467
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
7341
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6745
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1938
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12469
99.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12506
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9179
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19011
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
680
908.0 IPS |
|
|
Text Classification (Q)
|
97% |
466
623.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2008
40.3 IPS |
