| Upload Date | November 17 2025 09:06 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL66 12UEK |
| Motherboard | Micro-Star International Co., Ltd. MS-1583 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4968
924.0 IPS |
|
|
Image Classification (HP)
|
99% |
8719
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
3474
647.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8889
144.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13885
225.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6734
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
58616
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
163280
190.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
50477
59.1 IPS |
|
|
Object Detection (SP)
|
100% |
6344
503.2 IPS |
|
|
Object Detection (HP)
|
100% |
10869
862.1 IPS |
|
|
Object Detection (Q)
|
85% |
4022
323.8 IPS |
|
|
Face Detection (SP)
|
100% |
15336
182.2 IPS |
|
|
Face Detection (HP)
|
100% |
26025
309.2 IPS |
|
|
Face Detection (Q)
|
97% |
10102
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27808
214.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59178
457.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23391
187.2 IPS |
|
|
Style Transfer (SP)
|
100% |
94691
121.7 IPS |
|
|
Style Transfer (HP)
|
100% |
284101
365.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78956
101.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18220
672.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33330
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10425
386.0 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3185
4.25 KIPS |
|
|
Text Classification (Q)
|
97% |
804
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (Q)
|
70% |
996
18.7 IPS |