| Upload Date | October 13 2024 03:56 PM |
| Views | 18 |
| 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 STRIX X670E-E GAMING WIFI |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13678
2.54 KIPS |
|
|
Image Classification (HP)
|
99% |
18462
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11571
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23102
374.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28836
467.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21889
355.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
315584
368.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
528920
617.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
273801
320.6 IPS |
|
|
Object Detection (SP)
|
100% |
18680
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
24612
1.95 KIPS |
|
|
Object Detection (Q)
|
89% |
15101
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
51319
609.8 IPS |
|
|
Face Detection (HP)
|
100% |
63325
752.4 IPS |
|
|
Face Detection (Q)
|
97% |
42242
503.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
91298
703.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
155403
1.20 KIPS |
|
|
Depth Estimation (Q)
|
75% |
66185
533.8 IPS |
|
|
Style Transfer (SP)
|
100% |
570885
733.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1120101
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
483973
624.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59507
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76713
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41387
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5243
90.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2111
47.1 IPS |