| User | aeonsim |
| Upload Date | April 04 2025 09:56 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10764
2.00 KIPS |
|
|
Image Classification (HP)
|
99% |
16019
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
9581
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18906
306.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20192
327.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17123
278.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
180717
210.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
444706
518.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
162088
189.9 IPS |
|
|
Object Detection (SP)
|
100% |
13574
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
19699
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
11615
934.3 IPS |
|
|
Face Detection (SP)
|
100% |
37261
442.7 IPS |
|
|
Face Detection (HP)
|
100% |
47343
562.5 IPS |
|
|
Face Detection (Q)
|
97% |
30601
364.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
69966
539.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
115446
891.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
55189
441.2 IPS |
|
|
Style Transfer (SP)
|
100% |
312756
402.1 IPS |
|
|
Style Transfer (HP)
|
100% |
719125
924.4 IPS |
|
|
Style Transfer (Q)
|
98% |
278554
359.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46625
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57781
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34349
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2041
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4879
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4871
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2516
47.2 IPS |