| User | ssssssss |
| Upload Date | November 29 2025 05:43 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
10547
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
18356
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
9660
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20143
326.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30884
500.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18272
297.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
136888
159.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
439791
513.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
128489
150.5 IPS |
|
|
Object Detection (SP)
|
100% |
13260
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
24248
1.92 KIPS |
|
|
Object Detection (Q)
|
83% |
11256
909.5 IPS |
|
|
Face Detection (SP)
|
100% |
34880
414.5 IPS |
|
|
Face Detection (HP)
|
100% |
59042
701.5 IPS |
|
|
Face Detection (Q)
|
97% |
29953
357.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
59935
461.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
125821
969.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
47782
381.4 IPS |
|
|
Style Transfer (SP)
|
100% |
199309
256.2 IPS |
|
|
Style Transfer (HP)
|
100% |
678126
871.7 IPS |
|
|
Style Transfer (Q)
|
98% |
169208
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38004
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70006
2.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27953
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4459
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6721
115.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2176
40.8 IPS |