| User | juanrevi |
| Upload Date | February 05 2026 02:14 AM |
| Views | 7 |
| 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 B850-E GAMING WIFI |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
14825
2.76 KIPS |
|
|
Image Classification (HP)
|
99% |
19552
3.65 KIPS |
|
|
Image Classification (Q)
|
100% |
12630
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23620
382.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29156
472.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21957
357.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
334203
390.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
579350
676.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
286038
335.1 IPS |
|
|
Object Detection (SP)
|
100% |
19659
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
25687
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
16436
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
54523
647.8 IPS |
|
|
Face Detection (HP)
|
100% |
67759
805.1 IPS |
|
|
Face Detection (Q)
|
97% |
46108
549.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
104351
804.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
166349
1.28 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75793
606.2 IPS |
|
|
Style Transfer (SP)
|
100% |
591594
760.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1112603
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
496830
640.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64729
2.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82267
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46561
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5602
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5494
94.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2632
49.4 IPS |