| Upload Date | November 08 2025 07:46 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11899
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
19854
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
10806
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22440
363.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32972
534.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20214
328.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
181333
211.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
513549
599.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
154703
181.2 IPS |
|
|
Object Detection (SP)
|
100% |
15615
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
24685
1.96 KIPS |
|
|
Object Detection (Q)
|
83% |
13075
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
42212
501.6 IPS |
|
|
Face Detection (HP)
|
100% |
61616
732.1 IPS |
|
|
Face Detection (Q)
|
97% |
36167
431.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
73814
568.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
141516
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58627
467.9 IPS |
|
|
Style Transfer (SP)
|
100% |
250195
321.6 IPS |
|
|
Style Transfer (HP)
|
100% |
836747
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
214078
276.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43893
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76545
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35312
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4972
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2454
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6461
111.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6481
111.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3006
56.4 IPS |