| User | Darkp |
| Upload Date | February 14 2026 08:46 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P8P67 REV 3.1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.2 IPS |
|
|
Image Classification (Q)
|
100% |
2577
479.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5035
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4258
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39505
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25199
29.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32811
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4289
340.2 IPS |
|
|
Object Detection (HP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (Q)
|
83% |
3535
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
8660
102.9 IPS |
|
|
Face Detection (HP)
|
100% |
8114
96.4 IPS |
|
|
Face Detection (Q)
|
97% |
6831
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21355
164.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16904
130.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15713
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
70130
90.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48699
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55109
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12191
450.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10582
390.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8082
299.3 IPS |
|
|
Text Classification (SP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1076
20.2 IPS |