| User | firecall |
| Upload Date | January 06 2025 01:06 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11600K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.91 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1748
325.1 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.9 IPS |
|
|
Image Classification (Q)
|
99% |
5343
996.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1837
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2915
3.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
15285
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
86% |
4096
329.2 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6824
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12248
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8446
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6903
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
17466
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3200
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
454
608.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2071
41.6 IPS |