| User | SimonSu63 |
| Upload Date | November 17 2025 12:05 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. Z77-D3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.6 IPS |
|
|
Image Classification (Q)
|
100% |
2516
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4824
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3804
61.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4072
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25477
29.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15684
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
22678
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (HP)
|
100% |
3174
251.8 IPS |
|
|
Object Detection (Q)
|
83% |
2973
240.2 IPS |
|
|
Face Detection (SP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
6188
73.5 IPS |
|
|
Face Detection (Q)
|
97% |
6689
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15997
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11412
87.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12227
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45439
58.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30326
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38989
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9760
360.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7090
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6665
246.8 IPS |
|
|
Text Classification (SP)
|
100% |
1352
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
809
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2442
42.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.7 IPS |