Upload Date | August 21 2024 02:01 AM |
Views | 2 |
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 | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA RTX 3000 Ada Generation Laptop GPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6268
1.17 KIPS |
|
Image Classification (F16)
|
100% |
6826
1.28 KIPS |
|
Image Classification (I8)
|
100% |
6069
1.14 KIPS |
|
Image Segmentation (F32)
|
100% |
7464
124.7 IPS |
|
Image Segmentation (F16)
|
100% |
8625
144.1 IPS |
|
Image Segmentation (I8)
|
98% |
8363
139.7 IPS |
|
Pose Estimation (F32)
|
100% |
98640
119.4 IPS |
|
Pose Estimation (F16)
|
100% |
97497
118.1 IPS |
|
Pose Estimation (I8)
|
100% |
85630
103.7 IPS |
|
Object Detection (F32)
|
100% |
4623
345.1 IPS |
|
Object Detection (F16)
|
100% |
2678
199.9 IPS |
|
Object Detection (I8)
|
63% |
4245
316.9 IPS |
|
Face Detection (F32)
|
100% |
15222
181.0 IPS |
|
Face Detection (F16)
|
100% |
14585
173.4 IPS |
|
Face Detection (I8)
|
89% |
12034
143.1 IPS |
|
Depth Estimation (F32)
|
100% |
35440
274.8 IPS |
|
Depth Estimation (F16)
|
100% |
34838
270.2 IPS |
|
Depth Estimation (I8)
|
94% |
27385
212.4 IPS |
|
Style Transfer (F32)
|
100% |
144527
190.1 IPS |
|
Style Transfer (F16)
|
100% |
138333
182.0 IPS |
|
Style Transfer (I8)
|
98% |
128909
169.6 IPS |
|
Image Super-Resolution (F32)
|
100% |
26468
945.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
25699
917.8 IPS |
|
Image Super-Resolution (I8)
|
99% |
21353
762.6 IPS |
|
Text Classification (F32)
|
100% |
1854
2.67 KIPS |
|
Text Classification (F16)
|
100% |
1892
2.72 KIPS |
|
Text Classification (I8)
|
98% |
1307
1.88 KIPS |
|
Machine Translation (F32)
|
100% |
3154
58.0 IPS |
|
Machine Translation (F16)
|
100% |
2577
47.4 IPS |
|
Machine Translation (I8)
|
70% |
1501
27.6 IPS |