| User | uehashu |
| Upload Date | August 10 2025 09:24 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450 I AORUS PRO WIFI-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (HP)
|
100% |
4084
759.5 IPS |
|
|
Image Classification (Q)
|
99% |
2284
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6518
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6355
103.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5201
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
69712
81.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
38216
44.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
54181
63.5 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.8 IPS |
|
|
Object Detection (Q)
|
84% |
2908
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
6941
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
10546
125.3 IPS |
|
|
Face Detection (Q)
|
97% |
5914
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22360
172.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19479
150.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16661
133.2 IPS |
|
|
Style Transfer (SP)
|
100% |
111797
143.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63364
81.5 IPS |
|
|
Style Transfer (Q)
|
98% |
84727
109.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20184
745.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15205
561.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12004
444.5 IPS |
|
|
Text Classification (SP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3431
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1606
30.1 IPS |