| User | BGL |
| Upload Date | March 30 2025 08:25 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| 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 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9006
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
10608
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
7769
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12642
204.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11101
179.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11169
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
105490
123.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
163286
190.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
92758
108.7 IPS |
|
|
Object Detection (SP)
|
100% |
7318
580.5 IPS |
|
|
Object Detection (HP)
|
99% |
11309
897.0 IPS |
|
|
Object Detection (Q)
|
87% |
6673
535.9 IPS |
|
|
Face Detection (SP)
|
100% |
25014
297.2 IPS |
|
|
Face Detection (HP)
|
100% |
32229
382.9 IPS |
|
|
Face Detection (Q)
|
97% |
21003
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51019
393.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62115
478.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
40682
326.3 IPS |
|
|
Style Transfer (SP)
|
100% |
179620
230.9 IPS |
|
|
Style Transfer (HP)
|
100% |
269513
346.5 IPS |
|
|
Style Transfer (Q)
|
98% |
162033
208.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30142
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36271
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22487
832.7 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2005
37.6 IPS |