Upload Date | September 04 2025 11:51 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5060 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. Katana 15 HX B14WFK |
Motherboard | Micro-Star International Co., Ltd. MS-1587 |
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 | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7064
1.31 KIPS |
|
Image Classification (HP)
|
100% |
14219
2.64 KIPS |
|
Image Classification (Q)
|
99% |
6691
1.25 KIPS |
|
Image Segmentation (SP)
|
100% |
13685
221.8 IPS |
|
Image Segmentation (HP)
|
100% |
22063
357.7 IPS |
|
Image Segmentation (Q)
|
98% |
12530
203.7 IPS |
|
Pose Estimation (SP)
|
100% |
82697
96.5 IPS |
|
Pose Estimation (HP)
|
100% |
267516
312.1 IPS |
|
Pose Estimation (Q)
|
96% |
74500
87.3 IPS |
|
Object Detection (SP)
|
100% |
9338
740.7 IPS |
|
Object Detection (HP)
|
100% |
18265
1.45 KIPS |
|
Object Detection (Q)
|
87% |
8411
675.0 IPS |
|
Face Detection (SP)
|
100% |
24203
287.6 IPS |
|
Face Detection (HP)
|
100% |
41270
490.4 IPS |
|
Face Detection (Q)
|
97% |
21652
258.2 IPS |
|
Depth Estimation (SP)
|
100% |
40054
308.6 IPS |
|
Depth Estimation (HP)
|
99% |
90360
696.2 IPS |
|
Depth Estimation (Q)
|
77% |
33894
271.0 IPS |
|
Style Transfer (SP)
|
100% |
130383
167.6 IPS |
|
Style Transfer (HP)
|
100% |
452246
581.4 IPS |
|
Style Transfer (Q)
|
98% |
110666
142.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
23343
861.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
48238
1.78 KIPS |
|
Image Super-Resolution (Q)
|
99% |
18317
678.2 IPS |
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
Text Classification (Q)
|
97% |
1839
2.46 KIPS |
|
Machine Translation (SP)
|
100% |
4701
81.0 IPS |
|
Machine Translation (HP)
|
100% |
5300
91.3 IPS |
|
Machine Translation (Q)
|
70% |
1872
35.1 IPS |