| User | MrCrispr |
| Upload Date | March 13 2025 10:47 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11931
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
20398
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
10784
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20139
326.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28897
468.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19144
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
175130
204.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
501862
585.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
147116
172.6 IPS |
|
|
Object Detection (SP)
|
100% |
16400
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
26796
2.13 KIPS |
|
|
Object Detection (Q)
|
89% |
12993
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
38302
455.1 IPS |
|
|
Face Detection (HP)
|
100% |
56991
677.2 IPS |
|
|
Face Detection (Q)
|
97% |
31552
376.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
74952
577.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
133724
1.03 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57551
462.6 IPS |
|
|
Style Transfer (SP)
|
100% |
251332
323.1 IPS |
|
|
Style Transfer (HP)
|
100% |
879220
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
215789
278.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47092
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86530
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37406
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4279
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5403
7.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2640
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5965
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2537
56.6 IPS |