Upload Date | July 05 2025 01:11 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5070 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. Crosshair 18 HX AI A2XWGKG |
Motherboard | Micro-Star International Co., Ltd. MS-1841 |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 9 275HX |
Topology | 1 Processor, 24 Cores |
Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
Base Frequency | 2.70 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8683
1.61 KIPS |
|
Image Classification (HP)
|
100% |
15646
2.91 KIPS |
|
Image Classification (Q)
|
100% |
7963
1.48 KIPS |
|
Image Segmentation (SP)
|
100% |
14547
235.8 IPS |
|
Image Segmentation (HP)
|
100% |
20535
332.9 IPS |
|
Image Segmentation (Q)
|
98% |
13381
217.6 IPS |
|
Pose Estimation (SP)
|
100% |
106216
123.9 IPS |
|
Pose Estimation (HP)
|
100% |
334587
390.4 IPS |
|
Pose Estimation (Q)
|
96% |
101141
118.5 IPS |
|
Object Detection (SP)
|
100% |
10652
844.9 IPS |
|
Object Detection (HP)
|
100% |
18955
1.50 KIPS |
|
Object Detection (Q)
|
83% |
9081
733.7 IPS |
|
Face Detection (SP)
|
100% |
26818
318.7 IPS |
|
Face Detection (HP)
|
100% |
42400
503.8 IPS |
|
Face Detection (Q)
|
97% |
23580
281.2 IPS |
|
Depth Estimation (SP)
|
100% |
49660
382.6 IPS |
|
Depth Estimation (HP)
|
99% |
100798
776.6 IPS |
|
Depth Estimation (Q)
|
78% |
40147
320.4 IPS |
|
Style Transfer (SP)
|
100% |
156186
200.8 IPS |
|
Style Transfer (HP)
|
100% |
538525
692.3 IPS |
|
Style Transfer (Q)
|
98% |
137894
177.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
30895
1.14 KIPS |
|
Image Super-Resolution (HP)
|
100% |
59564
2.20 KIPS |
|
Image Super-Resolution (Q)
|
99% |
22720
841.3 IPS |
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
Text Classification (Q)
|
97% |
2030
2.72 KIPS |
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
Machine Translation (HP)
|
100% |
4782
82.4 IPS |
|
Machine Translation (Q)
|
70% |
1804
33.8 IPS |