| Upload Date | March 14 2026 05:43 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 CARBON WIFI (MS-7D30) |
| Power Plan | jaes |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (Q)
|
99% |
6350
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6416
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8394
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
26607
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
3593
285.0 IPS |
|
|
Object Detection (HP)
|
100% |
893
70.8 IPS |
|
|
Object Detection (Q)
|
86% |
5927
476.4 IPS |
|
|
Face Detection (SP)
|
100% |
9363
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
9931
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9980
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2469
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15401
122.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18437
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11761
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22509
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6342
234.8 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
613
820.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3037
61.0 IPS |