| User | helskor |
| Upload Date | August 16 2024 10:53 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Ultimate 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9132
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
11727
2.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8094
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18803
304.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19797
320.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17647
286.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
230023
268.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
420372
490.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
248901
291.5 IPS |
|
|
Object Detection (SP)
|
100% |
10388
824.0 IPS |
|
|
Object Detection (HP)
|
100% |
16724
1.33 KIPS |
|
|
Object Detection (Q)
|
89% |
9573
766.3 IPS |
|
|
Face Detection (SP)
|
100% |
35854
426.0 IPS |
|
|
Face Detection (HP)
|
100% |
41906
497.9 IPS |
|
|
Face Detection (Q)
|
97% |
35914
428.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
78766
606.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107654
829.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
48937
395.0 IPS |
|
|
Style Transfer (SP)
|
100% |
447655
575.5 IPS |
|
|
Style Transfer (HP)
|
100% |
916609
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
369441
476.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42123
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54205
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36850
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3470
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1733
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1655
36.9 IPS |