| User | rennsport |
| Upload Date | April 13 2025 08:15 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760M-PLUS D4 |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8338
1.55 KIPS |
|
|
Image Classification (HP)
|
99% |
12385
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
7598
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9894
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11834
191.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9255
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
109926
128.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
325739
380.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
97185
113.9 IPS |
|
|
Object Detection (SP)
|
100% |
9350
741.7 IPS |
|
|
Object Detection (HP)
|
100% |
14429
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
8316
669.5 IPS |
|
|
Face Detection (SP)
|
100% |
21045
250.1 IPS |
|
|
Face Detection (HP)
|
100% |
29557
351.2 IPS |
|
|
Face Detection (Q)
|
97% |
18947
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47733
367.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
89879
692.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
39069
312.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195109
250.8 IPS |
|
|
Style Transfer (HP)
|
100% |
447673
575.5 IPS |
|
|
Style Transfer (Q)
|
98% |
172970
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32780
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49517
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24780
917.6 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2058
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2843
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1637
30.7 IPS |