Upload Date | August 19 2024 05:53 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 | 16.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1368
256.0 IPS |
|
Image Classification (F16)
|
100% |
1378
257.9 IPS |
|
Image Classification (I8)
|
100% |
1216
227.5 IPS |
|
Image Segmentation (F32)
|
100% |
1360
22.7 IPS |
|
Image Segmentation (F16)
|
100% |
1350
22.5 IPS |
|
Image Segmentation (I8)
|
98% |
1161
19.4 IPS |
|
Pose Estimation (F32)
|
100% |
12010
14.5 IPS |
|
Pose Estimation (F16)
|
100% |
12154
14.7 IPS |
|
Pose Estimation (I8)
|
100% |
10693
12.9 IPS |
|
Object Detection (F32)
|
100% |
1217
90.9 IPS |
|
Object Detection (F16)
|
100% |
1239
92.5 IPS |
|
Object Detection (I8)
|
54% |
1093
81.6 IPS |
|
Face Detection (F32)
|
100% |
980
11.6 IPS |
|
Face Detection (F16)
|
100% |
987
11.7 IPS |
|
Face Detection (I8)
|
89% |
900
10.7 IPS |
|
Depth Estimation (F32)
|
100% |
7573
58.7 IPS |
|
Depth Estimation (F16)
|
100% |
7584
58.8 IPS |
|
Depth Estimation (I8)
|
95% |
5971
46.3 IPS |
|
Style Transfer (F32)
|
100% |
39654
52.2 IPS |
|
Style Transfer (F16)
|
100% |
38828
51.1 IPS |
|
Style Transfer (I8)
|
98% |
28219
37.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
6760
241.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
7108
253.9 IPS |
|
Image Super-Resolution (I8)
|
99% |
4600
164.3 IPS |
|
Text Classification (F32)
|
90% |
684
983.4 IPS |
|
Text Classification (F16)
|
90% |
701
1.01 KIPS |
|
Text Classification (I8)
|
90% |
489
702.2 IPS |
|
Machine Translation (F32)
|
100% |
1431
26.3 IPS |
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
Machine Translation (I8)
|
70% |
823
15.1 IPS |