| Upload Date | July 09 2025 07:35 PM |
| Views | 10 |
| 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 MAXIMUS Z790 HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14123
2.63 KIPS |
|
|
Image Classification (HP)
|
99% |
18948
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
12224
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26882
435.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
33566
544.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23986
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
318506
371.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
552364
644.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
276574
324.1 IPS |
|
|
Object Detection (SP)
|
100% |
19020
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24896
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
15816
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55730
662.2 IPS |
|
|
Face Detection (HP)
|
100% |
72103
856.7 IPS |
|
|
Face Detection (Q)
|
97% |
47270
563.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
99846
769.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
163845
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71642
573.0 IPS |
|
|
Style Transfer (SP)
|
100% |
577415
742.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1122914
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
488838
630.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61904
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82924
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45705
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4576
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2167
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5568
95.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2575
48.3 IPS |