| User | GyBHard |
| Upload Date | February 02 2025 10:59 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
99% |
1037
193.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3485
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3137
50.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2882
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35608
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18979
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28972
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
83% |
1545
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
5204
61.8 IPS |
|
|
Face Detection (Q)
|
97% |
3127
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11828
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10369
80.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9368
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
57724
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35347
45.4 IPS |
|
|
Style Transfer (Q)
|
98% |
44696
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11651
430.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8107
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7313
270.8 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (Q)
|
97% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2293
39.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1171
22.0 IPS |