| User | SPiffY226 |
| Upload Date | May 20 2025 05:46 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% |
14371
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
20463
3.81 KIPS |
|
|
Image Classification (Q)
|
100% |
12629
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25859
419.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34758
563.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23052
374.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
244908
285.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
707322
825.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
208900
244.7 IPS |
|
|
Object Detection (SP)
|
100% |
18099
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26174
2.08 KIPS |
|
|
Object Detection (Q)
|
86% |
15593
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
50950
605.4 IPS |
|
|
Face Detection (HP)
|
100% |
69943
831.1 IPS |
|
|
Face Detection (Q)
|
97% |
41595
495.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
92035
709.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
173811
1.34 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66741
533.0 IPS |
|
|
Style Transfer (SP)
|
100% |
351811
452.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1106274
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
308492
397.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55894
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84456
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42284
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6449
111.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6508
112.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2904
54.5 IPS |