Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
3236
Single Precision Score
1391
Half Precision Score
5783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hunt_young1 |
| Upload Date | June 29 2025 05:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI DDR4 (MS-7D46) |
| Power Plan | High 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.5 IPS |
|
|
Image Classification (Q)
|
99% |
5353
998.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2931
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5446
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3823
4.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
18973
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
5471
439.7 IPS |
|
|
Face Detection (SP)
|
100% |
4759
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
8033
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1996
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12745
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12717
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9231
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15991
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3475
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1689
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2677
53.8 IPS |
