| User | ssssssss |
| Upload Date | November 22 2025 09:25 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M MAX GAMING WIFI |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9811
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
14749
2.75 KIPS |
|
|
Image Classification (Q)
|
100% |
6663
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18768
304.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29476
477.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13334
216.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
141270
164.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
327076
381.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
109762
128.6 IPS |
|
|
Object Detection (SP)
|
100% |
13066
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
19546
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
8625
693.8 IPS |
|
|
Face Detection (SP)
|
100% |
35152
417.7 IPS |
|
|
Face Detection (HP)
|
100% |
52158
619.8 IPS |
|
|
Face Detection (Q)
|
97% |
22651
270.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62508
481.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111512
859.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36654
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
265686
341.5 IPS |
|
|
Style Transfer (HP)
|
100% |
649781
835.3 IPS |
|
|
Style Transfer (Q)
|
98% |
184843
238.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38100
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56703
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21960
813.2 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1416
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |