| User | datalifenyc |
| Upload Date | January 03 2026 05:26 AM |
| Views | 10 |
| 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% |
5152
958.1 IPS |
|
|
Image Classification (HP)
|
99% |
8803
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
4633
864.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8018
130.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11038
178.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7558
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
53837
62.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
175489
204.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46998
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (HP)
|
100% |
9034
716.6 IPS |
|
|
Object Detection (Q)
|
84% |
4828
389.4 IPS |
|
|
Face Detection (SP)
|
100% |
14311
170.1 IPS |
|
|
Face Detection (HP)
|
100% |
20860
247.9 IPS |
|
|
Face Detection (Q)
|
97% |
12499
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27202
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
55948
431.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
22721
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
90304
116.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232096
298.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82373
106.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17216
635.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29839
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14396
533.1 IPS |
|
|
Text Classification (SP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1261
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2692
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1251
23.5 IPS |