| User | tcsenter |
| Upload Date | April 17 2025 09:08 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 DESIGNARE |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 DESIGNARE-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3775
702.1 IPS |
|
|
Image Classification (HP)
|
100% |
3453
642.1 IPS |
|
|
Image Classification (Q)
|
99% |
3084
575.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6878
111.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5634
91.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5835
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
41149
48.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24684
28.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
36315
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
4931
391.1 IPS |
|
|
Object Detection (HP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (Q)
|
83% |
4076
329.4 IPS |
|
|
Face Detection (SP)
|
100% |
11896
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
9706
115.3 IPS |
|
|
Face Detection (Q)
|
97% |
10098
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23842
183.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17832
137.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17783
141.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73515
94.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49194
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
62541
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14094
520.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10635
392.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9211
341.1 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2902
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2889
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1280
24.0 IPS |