| Upload Date | November 12 2025 04:43 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z590-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4265
793.1 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
99% |
8697
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10589
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8579
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
28160
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (HP)
|
100% |
907
72.0 IPS |
|
|
Object Detection (Q)
|
86% |
8623
693.1 IPS |
|
|
Face Detection (SP)
|
100% |
6499
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (Q)
|
97% |
10968
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11408
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2824
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20536
163.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20376
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16060
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27048
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3584
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7540
279.2 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1686
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2792
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3712
74.6 IPS |