| User | fenom |
| Upload Date | September 20 2025 05:33 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Riptide |
| Motherboard | ASRock Z790 PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12949
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
18291
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11352
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23690
384.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31254
506.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21685
352.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
255997
298.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
512839
598.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
223710
262.1 IPS |
|
|
Object Detection (SP)
|
100% |
16579
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
23575
1.87 KIPS |
|
|
Object Detection (Q)
|
85% |
14255
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
49102
583.4 IPS |
|
|
Face Detection (HP)
|
100% |
64023
760.7 IPS |
|
|
Face Detection (Q)
|
97% |
41660
496.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
82339
634.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
151992
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63043
503.4 IPS |
|
|
Style Transfer (SP)
|
100% |
388061
498.9 IPS |
|
|
Style Transfer (HP)
|
100% |
891197
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
341302
440.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54393
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73751
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42192
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
4661
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6027
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5948
102.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2778
52.1 IPS |