| User | BrantB |
| Upload Date | December 11 2025 04:08 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3144
584.7 IPS |
|
|
Image Classification (Q)
|
99% |
1813
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5087
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4243
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
53901
62.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29985
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
43418
50.9 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
4136
328.1 IPS |
|
|
Object Detection (Q)
|
84% |
2365
190.8 IPS |
|
|
Face Detection (SP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
8342
99.1 IPS |
|
|
Face Detection (Q)
|
97% |
4807
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17586
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16756
129.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13586
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
90732
116.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52054
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
68494
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14686
542.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12119
447.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9612
355.9 IPS |
|
|
Text Classification (SP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
847
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2777
47.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2660
46.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1351
25.3 IPS |