Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3280
Single Precision Score
1410
Half Precision Score
5873
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Killumall69 |
| Upload Date | February 10 2025 02:23 PM |
| Views | 4 |
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% |
2614
486.1 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
99% |
5453
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2948
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
19938
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
5332
428.5 IPS |
|
|
Face Detection (SP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7653
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7344
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13476
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13209
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9474
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17649
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2555
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3804
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2494
50.1 IPS |
