| User | Rowles66 |
| Upload Date | January 08 2025 02:17 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | iBUYPOWER INTEL |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 UD AX DDR4 |
| Power Plan | High performance |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3002
558.3 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.6 IPS |
|
|
Image Classification (Q)
|
99% |
6311
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3196
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6956
8.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4577
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
23217
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2827
224.3 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
6123
492.1 IPS |
|
|
Face Detection (SP)
|
100% |
5499
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
9062
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8985
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2216
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14722
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15670
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11358
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15471
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2953
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4110
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1844
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2694
54.1 IPS |