Upload Date | August 23 2024 09:05 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 | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6881
1.29 KIPS |
|
Image Classification (F16)
|
100% |
6930
1.30 KIPS |
|
Image Classification (I8)
|
100% |
6056
1.13 KIPS |
|
Image Segmentation (F32)
|
100% |
8891
148.5 IPS |
|
Image Segmentation (F16)
|
100% |
8835
147.5 IPS |
|
Image Segmentation (I8)
|
98% |
8119
135.6 IPS |
|
Pose Estimation (F32)
|
100% |
98459
119.2 IPS |
|
Pose Estimation (F16)
|
100% |
98951
119.8 IPS |
|
Pose Estimation (I8)
|
100% |
81270
98.4 IPS |
|
Object Detection (F32)
|
100% |
3928
293.2 IPS |
|
Object Detection (F16)
|
100% |
4534
338.5 IPS |
|
Object Detection (I8)
|
63% |
4173
311.5 IPS |
|
Face Detection (F32)
|
100% |
18222
216.7 IPS |
|
Face Detection (F16)
|
100% |
15453
183.7 IPS |
|
Face Detection (I8)
|
89% |
12189
144.9 IPS |
|
Depth Estimation (F32)
|
100% |
34228
265.4 IPS |
|
Depth Estimation (F16)
|
100% |
31690
245.8 IPS |
|
Depth Estimation (I8)
|
94% |
27093
210.1 IPS |
|
Style Transfer (F32)
|
100% |
134669
177.1 IPS |
|
Style Transfer (F16)
|
100% |
135353
178.0 IPS |
|
Style Transfer (I8)
|
98% |
124928
164.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
23265
830.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
24863
887.9 IPS |
|
Image Super-Resolution (I8)
|
99% |
20862
745.0 IPS |
|
Text Classification (F32)
|
100% |
1835
2.64 KIPS |
|
Text Classification (F16)
|
100% |
1817
2.61 KIPS |
|
Text Classification (I8)
|
98% |
1263
1.82 KIPS |
|
Machine Translation (F32)
|
100% |
3024
55.7 IPS |
|
Machine Translation (F16)
|
100% |
2515
46.3 IPS |
|
Machine Translation (I8)
|
70% |
1482
27.3 IPS |