| User | rjmaybin |
| Upload Date | May 01 2025 04:36 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9531
1.77 KIPS |
|
|
Image Classification (HP)
|
99% |
14895
2.78 KIPS |
|
|
Image Classification (Q)
|
99% |
8542
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15092
244.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19915
322.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13263
215.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
109292
127.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
334777
390.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
97763
114.5 IPS |
|
|
Object Detection (SP)
|
100% |
9597
761.3 IPS |
|
|
Object Detection (HP)
|
100% |
16191
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7750
623.9 IPS |
|
|
Face Detection (SP)
|
100% |
22279
264.7 IPS |
|
|
Face Detection (HP)
|
100% |
38058
452.2 IPS |
|
|
Face Detection (Q)
|
97% |
18908
225.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
51648
397.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
81575
628.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
40052
320.7 IPS |
|
|
Style Transfer (SP)
|
100% |
180815
232.4 IPS |
|
|
Style Transfer (HP)
|
100% |
414815
533.3 IPS |
|
|
Style Transfer (Q)
|
98% |
174411
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32654
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50437
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25767
954.1 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
4437
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2132
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1857
34.8 IPS |