| Upload Date | December 04 2024 10:02 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| 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 | Dengeli |
| 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% |
14171
2.64 KIPS |
|
|
Image Classification (HP)
|
99% |
20135
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12261
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22730
368.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
29318
475.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21421
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
274889
320.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
535507
624.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
242197
283.8 IPS |
|
|
Object Detection (SP)
|
100% |
18047
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
26392
2.09 KIPS |
|
|
Object Detection (Q)
|
85% |
15562
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
51289
609.4 IPS |
|
|
Face Detection (HP)
|
100% |
67875
806.5 IPS |
|
|
Face Detection (Q)
|
97% |
43905
523.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
83038
639.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
161769
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63664
508.4 IPS |
|
|
Style Transfer (SP)
|
100% |
418973
538.6 IPS |
|
|
Style Transfer (HP)
|
100% |
950977
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
366188
472.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59932
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80283
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44484
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4974
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2457
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5894
101.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5832
100.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2789
52.3 IPS |