| User | SPiffY226 |
| Upload Date | May 20 2025 05:41 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790I Lightning WiFi |
| Motherboard | ASRock Z790I Lightning WiFi |
| Power Plan | High performance |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14243
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
19891
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
12069
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25449
412.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32649
529.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21390
347.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
235085
274.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
687701
802.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
201896
236.5 IPS |
|
|
Object Detection (SP)
|
100% |
17811
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
25564
2.03 KIPS |
|
|
Object Detection (Q)
|
86% |
15391
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
50479
599.8 IPS |
|
|
Face Detection (HP)
|
100% |
68988
819.7 IPS |
|
|
Face Detection (Q)
|
97% |
41062
489.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
88279
680.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
172736
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66098
527.8 IPS |
|
|
Style Transfer (SP)
|
100% |
346640
445.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1086056
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
301164
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54032
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82846
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41245
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4942
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2216
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5984
103.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6297
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2943
55.2 IPS |