| Upload Date | November 12 2025 04:15 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83DG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6976
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
12772
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
6541
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12719
206.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17071
276.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11289
183.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
99969
116.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
260489
303.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
87861
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
8950
709.9 IPS |
|
|
Object Detection (HP)
|
100% |
15689
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
7914
638.3 IPS |
|
|
Face Detection (SP)
|
100% |
21921
260.5 IPS |
|
|
Face Detection (HP)
|
100% |
32492
386.1 IPS |
|
|
Face Detection (Q)
|
97% |
18516
220.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42611
328.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80576
620.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35786
286.3 IPS |
|
|
Style Transfer (SP)
|
99% |
152285
195.8 IPS |
|
|
Style Transfer (HP)
|
100% |
356346
458.1 IPS |
|
|
Style Transfer (Q)
|
98% |
134846
173.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26581
981.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46500
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21255
787.0 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
4026
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4148
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1854
34.8 IPS |