| User | god_laptop |
| Upload Date | February 24 2026 09:05 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro NL16-71G |
| Motherboard | RPL CTE_NB_NL160P1G_RTH |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
99% |
3840
716.3 IPS |
|
|
Image Classification (Q)
|
99% |
2842
530.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2998
48.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2679
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47729
55.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123489
144.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
42300
49.6 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3865
306.6 IPS |
|
|
Object Detection (Q)
|
84% |
2987
240.9 IPS |
|
|
Face Detection (SP)
|
100% |
6495
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
7755
92.1 IPS |
|
|
Face Detection (Q)
|
97% |
6242
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23126
178.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39442
303.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
20186
161.5 IPS |
|
|
Style Transfer (SP)
|
100% |
80586
103.6 IPS |
|
|
Style Transfer (HP)
|
100% |
161718
207.9 IPS |
|
|
Style Transfer (Q)
|
98% |
76434
98.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15250
563.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20431
754.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12119
448.7 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
70% |
625
11.7 IPS |