| User | 5hGaBHE7 |
| Upload Date | April 29 2025 01:57 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16640
3.09 KIPS |
|
|
Image Classification (HP)
|
100% |
23863
4.44 KIPS |
|
|
Image Classification (Q)
|
100% |
14537
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29656
480.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
40433
655.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
26655
433.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
264763
308.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
809587
944.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
226456
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
21300
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
30551
2.42 KIPS |
|
|
Object Detection (Q)
|
86% |
18073
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
60409
717.8 IPS |
|
|
Face Detection (HP)
|
100% |
84687
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
50025
596.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
106275
818.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
193986
1.49 KIPS |
|
|
Depth Estimation (Q)
|
78% |
78196
624.4 IPS |
|
|
Style Transfer (SP)
|
100% |
393963
506.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1268962
1.63 KIPS |
|
|
Style Transfer (Q)
|
98% |
337273
434.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63671
2.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94214
3.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47680
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
4319
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2718
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
7353
126.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7485
128.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3268
61.3 IPS |