| Upload Date | November 04 2025 01:46 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12432
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
19578
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
11189
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24492
397.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
35471
575.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21819
354.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
165033
192.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
665859
776.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
147348
172.6 IPS |
|
|
Object Detection (SP)
|
100% |
16226
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
26472
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
13548
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
50375
598.6 IPS |
|
|
Face Detection (HP)
|
100% |
73600
874.5 IPS |
|
|
Face Detection (Q)
|
97% |
41493
494.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
81155
625.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142670
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60634
484.2 IPS |
|
|
Style Transfer (SP)
|
100% |
291900
375.2 IPS |
|
|
Style Transfer (HP)
|
100% |
975116
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
246677
318.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44433
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72603
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33694
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6277
108.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6297
108.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2480
46.5 IPS |