| User | anindya32 |
| Upload Date | October 26 2025 02:50 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9533
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
9170
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
8006
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15513
251.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12070
195.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12438
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
112976
131.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
184523
215.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
92586
108.5 IPS |
|
|
Object Detection (SP)
|
100% |
10255
813.5 IPS |
|
|
Object Detection (HP)
|
100% |
8905
706.3 IPS |
|
|
Object Detection (Q)
|
87% |
8711
699.6 IPS |
|
|
Face Detection (SP)
|
100% |
27643
328.5 IPS |
|
|
Face Detection (HP)
|
100% |
33719
400.7 IPS |
|
|
Face Detection (Q)
|
97% |
21963
261.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44816
345.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57030
439.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
34176
274.4 IPS |
|
|
Style Transfer (SP)
|
100% |
208457
268.0 IPS |
|
|
Style Transfer (HP)
|
100% |
267914
344.4 IPS |
|
|
Style Transfer (Q)
|
98% |
165333
213.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35249
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41112
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24325
900.7 IPS |
|
|
Text Classification (SP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1784
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5827
100.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2861
53.7 IPS |