| User | pdindetroit |
| Upload Date | May 16 2025 01:16 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6729
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7307
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
5650
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11757
190.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9262
150.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9580
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
89025
103.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
141860
165.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74281
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
6495
515.2 IPS |
|
|
Object Detection (HP)
|
100% |
7944
630.1 IPS |
|
|
Object Detection (Q)
|
87% |
5593
449.2 IPS |
|
|
Face Detection (SP)
|
100% |
21127
251.0 IPS |
|
|
Face Detection (HP)
|
100% |
25759
306.1 IPS |
|
|
Face Detection (Q)
|
97% |
16758
199.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40232
310.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50199
386.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
30411
244.2 IPS |
|
|
Style Transfer (SP)
|
100% |
176037
226.3 IPS |
|
|
Style Transfer (HP)
|
100% |
224576
288.7 IPS |
|
|
Style Transfer (Q)
|
98% |
141022
181.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25937
957.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31501
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18139
671.7 IPS |
|
|
Text Classification (SP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1747
32.8 IPS |