| Upload Date | February 08 2026 01:13 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13656
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
20629
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
11953
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25793
418.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
38481
623.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22353
363.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
175560
204.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
670721
782.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
155908
182.6 IPS |
|
|
Object Detection (SP)
|
100% |
16623
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
26960
2.14 KIPS |
|
|
Object Detection (Q)
|
86% |
14147
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
48837
580.3 IPS |
|
|
Face Detection (HP)
|
100% |
68087
809.0 IPS |
|
|
Face Detection (Q)
|
97% |
40273
480.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84590
651.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
143748
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62864
502.0 IPS |
|
|
Style Transfer (SP)
|
100% |
309761
398.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1010731
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
260702
336.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47560
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78301
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35638
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3879
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2313
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6075
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6219
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2455
46.0 IPS |