| User | datalifenyc |
| Upload Date | December 29 2025 03:07 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook UX8402VV_UX8402VV |
| Motherboard | ASUSTeK COMPUTER INC. UX8402VV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5162
960.0 IPS |
|
|
Image Classification (HP)
|
99% |
8380
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
4454
830.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8955
145.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12427
201.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8604
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
52971
61.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
170840
199.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
49468
58.0 IPS |
|
|
Object Detection (SP)
|
100% |
6379
506.0 IPS |
|
|
Object Detection (HP)
|
100% |
12066
957.1 IPS |
|
|
Object Detection (Q)
|
84% |
5667
457.0 IPS |
|
|
Face Detection (SP)
|
100% |
16469
195.7 IPS |
|
|
Face Detection (HP)
|
100% |
24340
289.2 IPS |
|
|
Face Detection (Q)
|
97% |
14083
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29198
225.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
63080
486.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
24625
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
89722
115.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243484
313.0 IPS |
|
|
Style Transfer (Q)
|
98% |
81015
104.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19552
722.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34025
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16018
593.1 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1278
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1522
28.6 IPS |