| User | carma2012 |
| Upload Date | December 03 2025 12:38 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B560M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B560M AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.7 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
99% |
6767
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7982
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3818
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
19571
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (HP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
5266
423.2 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
6820
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12689
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10134
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9194
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14725
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5749
212.9 IPS |
|
|
Text Classification (SP)
|
100% |
1810
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2356
47.3 IPS |