| User | belias03 |
| Upload Date | October 16 2025 09:35 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B360M-PLUS GAMING S |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9400F |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3907
726.5 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.1 IPS |
|
|
Image Classification (Q)
|
99% |
3225
601.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5978
96.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5870
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
45777
53.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27370
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
39160
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.3 IPS |
|
|
Object Detection (HP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (Q)
|
83% |
4203
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
11876
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
10133
120.4 IPS |
|
|
Face Detection (Q)
|
97% |
9533
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24805
191.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18824
145.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17934
143.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77157
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52682
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
65135
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14369
530.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11818
436.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9323
345.2 IPS |
|
|
Text Classification (SP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (Q)
|
97% |
865
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2887
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1267
23.8 IPS |