| User | stickystickler |
| Upload Date | December 21 2025 03:34 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13179
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
19105
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11644
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27936
452.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
41689
675.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24636
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
178327
208.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
708275
826.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
160255
187.7 IPS |
|
|
Object Detection (SP)
|
100% |
18132
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
29396
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
15070
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
54646
649.3 IPS |
|
|
Face Detection (HP)
|
100% |
79847
948.8 IPS |
|
|
Face Detection (Q)
|
97% |
44200
527.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
86965
670.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
149455
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65660
524.3 IPS |
|
|
Style Transfer (SP)
|
100% |
323961
416.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1032052
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
267586
345.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46050
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74464
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35673
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
7509
129.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7557
130.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3187
59.8 IPS |