| Upload Date | February 22 2026 11:08 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B760-I GAMING WIFI |
| Power Plan | Hj ydeevne |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4727
879.1 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
7167
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13383
217.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11250
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
34866
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4470
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (Q)
|
86% |
7113
571.6 IPS |
|
|
Face Detection (SP)
|
100% |
12677
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
12084
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13120
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20833
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25517
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11775
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32845
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3614
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6253
231.5 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1543
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3667
73.7 IPS |