| User | ptn |
| Upload Date | November 30 2025 11:13 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-ITX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3955
735.4 IPS |
|
|
Image Classification (HP)
|
100% |
3773
701.7 IPS |
|
|
Image Classification (Q)
|
99% |
3256
607.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6002
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5324
86.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5054
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44655
52.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26563
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
37848
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
4842
384.1 IPS |
|
|
Object Detection (HP)
|
100% |
4573
362.7 IPS |
|
|
Object Detection (Q)
|
83% |
3903
315.3 IPS |
|
|
Face Detection (SP)
|
100% |
10613
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
9442
112.2 IPS |
|
|
Face Detection (Q)
|
97% |
8848
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24029
185.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18209
140.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17253
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
74931
96.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50994
65.6 IPS |
|
|
Style Transfer (Q)
|
98% |
60422
77.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13640
503.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11793
435.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8973
332.3 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (Q)
|
97% |
950
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2410
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1137
21.3 IPS |