| Upload Date | September 18 2025 03:12 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 UD AC |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 UD AC |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14845
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
18197
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
12754
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27757
450.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
32633
529.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24118
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
359449
419.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
761139
888.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
296004
346.7 IPS |
|
|
Object Detection (SP)
|
100% |
19523
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
24259
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
17327
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
51189
608.2 IPS |
|
|
Face Detection (HP)
|
100% |
68941
819.2 IPS |
|
|
Face Detection (Q)
|
97% |
43412
517.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
90675
698.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
173955
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70504
564.7 IPS |
|
|
Style Transfer (SP)
|
100% |
504909
649.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1356642
1.74 KIPS |
|
|
Style Transfer (Q)
|
98% |
446230
575.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62837
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84721
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44162
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2608
48.9 IPS |