Upload Date | August 20 2024 06:31 AM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 21KWZC48US |
Motherboard | LENOVO 21KWZC48US |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core Ultra 9 185H |
Topology | 1 Processor, 16 Cores, 22 Threads |
Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
Base Frequency | 2.30 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 10 Cores |
L1 Instruction Cache | 64.0 KB x 11 |
L1 Data Cache | 48.0 KB x 11 |
L2 Cache | 2.00 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6921
1.30 KIPS |
|
Image Classification (F16)
|
100% |
6921
1.30 KIPS |
|
Image Classification (I8)
|
100% |
6176
1.16 KIPS |
|
Image Segmentation (F32)
|
100% |
9509
158.8 IPS |
|
Image Segmentation (F16)
|
100% |
8990
150.1 IPS |
|
Image Segmentation (I8)
|
98% |
8191
136.8 IPS |
|
Pose Estimation (F32)
|
100% |
98250
119.0 IPS |
|
Pose Estimation (F16)
|
100% |
98759
119.6 IPS |
|
Pose Estimation (I8)
|
100% |
84035
101.8 IPS |
|
Object Detection (F32)
|
100% |
4800
358.3 IPS |
|
Object Detection (F16)
|
100% |
4814
359.4 IPS |
|
Object Detection (I8)
|
63% |
4777
356.6 IPS |
|
Face Detection (F32)
|
100% |
17403
206.9 IPS |
|
Face Detection (F16)
|
100% |
17958
213.5 IPS |
|
Face Detection (I8)
|
89% |
14913
177.3 IPS |
|
Depth Estimation (F32)
|
100% |
37625
291.8 IPS |
|
Depth Estimation (F16)
|
100% |
33819
262.3 IPS |
|
Depth Estimation (I8)
|
94% |
32288
250.4 IPS |
|
Style Transfer (F32)
|
100% |
144005
189.4 IPS |
|
Style Transfer (F16)
|
100% |
144018
189.4 IPS |
|
Style Transfer (I8)
|
98% |
134177
176.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
28517
1.02 KIPS |
|
Image Super-Resolution (F16)
|
100% |
28490
1.02 KIPS |
|
Image Super-Resolution (I8)
|
99% |
21299
760.7 IPS |
|
Text Classification (F32)
|
100% |
1965
2.82 KIPS |
|
Text Classification (F16)
|
100% |
1913
2.75 KIPS |
|
Text Classification (I8)
|
98% |
1334
1.92 KIPS |
|
Machine Translation (F32)
|
100% |
3157
58.1 IPS |
|
Machine Translation (F16)
|
100% |
3171
58.4 IPS |
|
Machine Translation (I8)
|
70% |
1812
33.4 IPS |