| Upload Date | December 03 2024 09:24 PM |
| Views | 16 |
| 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 X870E HERO |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14090
2.62 KIPS |
|
|
Image Classification (HP)
|
99% |
18802
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11741
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23018
373.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28769
466.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22118
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
327427
382.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
542099
632.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
282437
330.7 IPS |
|
|
Object Detection (SP)
|
100% |
19715
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
26059
2.07 KIPS |
|
|
Object Detection (Q)
|
89% |
15545
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
52046
618.4 IPS |
|
|
Face Detection (HP)
|
100% |
63924
759.6 IPS |
|
|
Face Detection (Q)
|
97% |
43131
514.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
93953
723.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
161337
1.24 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67948
548.1 IPS |
|
|
Style Transfer (SP)
|
100% |
581220
747.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1130256
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
493170
635.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63274
2.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83999
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45472
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2224
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5471
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5382
92.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2234
49.8 IPS |