| Upload Date | January 23 2025 08:02 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
13995
2.60 KIPS |
|
|
Image Classification (HP)
|
99% |
18482
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11735
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22678
367.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
28164
456.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21526
350.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
314235
366.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
537364
627.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
273607
320.4 IPS |
|
|
Object Detection (SP)
|
100% |
19522
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
25391
2.01 KIPS |
|
|
Object Detection (Q)
|
89% |
15513
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
51647
613.7 IPS |
|
|
Face Detection (HP)
|
100% |
63274
751.8 IPS |
|
|
Face Detection (Q)
|
97% |
42859
511.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
97695
752.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
158824
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69842
563.3 IPS |
|
|
Style Transfer (SP)
|
100% |
573811
737.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1110221
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
486682
627.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62195
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82887
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45877
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4680
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2279
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5370
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2190
48.9 IPS |