Upload Date | August 22 2024 08:52 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 21KYZBZ6US |
Motherboard | LENOVO 21KYZBZ6US |
Power Plan | Balanced |
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 | 1.40 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 | Intel(R) Arc(TM) Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1289
241.3 IPS |
|
Image Classification (F16)
|
100% |
1315
246.1 IPS |
|
Image Classification (I8)
|
100% |
1215
227.4 IPS |
|
Image Segmentation (F32)
|
100% |
1412
23.6 IPS |
|
Image Segmentation (F16)
|
100% |
1432
23.9 IPS |
|
Image Segmentation (I8)
|
98% |
1240
20.7 IPS |
|
Pose Estimation (F32)
|
100% |
13159
15.9 IPS |
|
Pose Estimation (F16)
|
100% |
13174
16.0 IPS |
|
Pose Estimation (I8)
|
100% |
11247
13.6 IPS |
|
Object Detection (F32)
|
100% |
1193
89.0 IPS |
|
Object Detection (F16)
|
100% |
1200
89.6 IPS |
|
Object Detection (I8)
|
54% |
1105
82.5 IPS |
|
Face Detection (F32)
|
100% |
1095
13.0 IPS |
|
Face Detection (F16)
|
100% |
1090
13.0 IPS |
|
Face Detection (I8)
|
89% |
984
11.7 IPS |
|
Depth Estimation (F32)
|
100% |
7656
59.4 IPS |
|
Depth Estimation (F16)
|
100% |
7609
59.0 IPS |
|
Depth Estimation (I8)
|
95% |
6355
49.3 IPS |
|
Style Transfer (F32)
|
100% |
39002
51.3 IPS |
|
Style Transfer (F16)
|
100% |
39847
52.4 IPS |
|
Style Transfer (I8)
|
98% |
30592
40.2 IPS |
|
Image Super-Resolution (F32)
|
100% |
7434
265.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
7423
265.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
5210
186.1 IPS |
|
Text Classification (F32)
|
90% |
776
1.11 KIPS |
|
Text Classification (F16)
|
90% |
781
1.12 KIPS |
|
Text Classification (I8)
|
90% |
579
832.0 IPS |
|
Machine Translation (F32)
|
100% |
1573
29.0 IPS |
|
Machine Translation (F16)
|
100% |
1579
29.1 IPS |
|
Machine Translation (I8)
|
70% |
875
16.1 IPS |