User | _xKaz |
Upload Date | March 07 2025 12:48 PM |
Views | 1 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4080 Laptop GPU |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VHG |
Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
Power Plan | High performance |
CPU Information | |
---|---|
Name | Intel Core Ultra 7 155H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 3.80 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
6518
1.21 KIPS |
|
Image Classification (HP)
|
99% |
10708
2.00 KIPS |
|
Image Classification (Q)
|
100% |
6679
1.24 KIPS |
|
Image Segmentation (SP)
|
100% |
9113
147.7 IPS |
|
Image Segmentation (HP)
|
100% |
12135
196.7 IPS |
|
Image Segmentation (Q)
|
98% |
9404
152.9 IPS |
|
Pose Estimation (SP)
|
100% |
86645
101.1 IPS |
|
Pose Estimation (HP)
|
100% |
225896
263.6 IPS |
|
Pose Estimation (Q)
|
96% |
81297
95.3 IPS |
|
Object Detection (SP)
|
100% |
8209
651.2 IPS |
|
Object Detection (HP)
|
100% |
12353
979.9 IPS |
|
Object Detection (Q)
|
85% |
7519
605.3 IPS |
|
Face Detection (SP)
|
100% |
20170
239.7 IPS |
|
Face Detection (HP)
|
100% |
28756
341.7 IPS |
|
Face Detection (Q)
|
97% |
18485
220.4 IPS |
|
Depth Estimation (SP)
|
100% |
43901
338.2 IPS |
|
Depth Estimation (HP)
|
99% |
78731
608.3 IPS |
|
Depth Estimation (Q)
|
77% |
35455
283.5 IPS |
|
Style Transfer (SP)
|
100% |
163157
209.7 IPS |
|
Style Transfer (HP)
|
100% |
400008
514.2 IPS |
|
Style Transfer (Q)
|
98% |
144070
185.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
27940
1.03 KIPS |
|
Image Super-Resolution (HP)
|
100% |
39888
1.47 KIPS |
|
Image Super-Resolution (Q)
|
99% |
22093
818.1 IPS |
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
Text Classification (HP)
|
99% |
3274
4.37 KIPS |
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
Machine Translation (HP)
|
100% |
2882
49.6 IPS |
|
Machine Translation (Q)
|
70% |
1561
29.3 IPS |