Upload Date | August 16 2024 07:41 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Enterprise (64-bit) |
Model | HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC |
Motherboard | HP 8BEF |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-13800H |
Topology | 1 Processor, 14 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
Base Frequency | 2.50 GHz |
Cluster 1 | 6 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 1.25 MB x 2 |
L3 Cache | 24.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Iris(R) Xe Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1230
230.2 IPS |
|
Image Classification (F16)
|
100% |
1233
230.6 IPS |
|
Image Classification (I8)
|
100% |
991
185.5 IPS |
|
Image Segmentation (F32)
|
100% |
2088
34.9 IPS |
|
Image Segmentation (F16)
|
100% |
1996
33.3 IPS |
|
Image Segmentation (I8)
|
98% |
1546
25.8 IPS |
|
Pose Estimation (F32)
|
100% |
13151
15.9 IPS |
|
Pose Estimation (F16)
|
100% |
13324
16.1 IPS |
|
Pose Estimation (I8)
|
100% |
6479
7.85 IPS |
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
Object Detection (F16)
|
100% |
1495
111.6 IPS |
|
Object Detection (I8)
|
54% |
1160
86.6 IPS |
|
Face Detection (F32)
|
100% |
3130
37.2 IPS |
|
Face Detection (F16)
|
100% |
3137
37.3 IPS |
|
Face Detection (I8)
|
89% |
1952
23.2 IPS |
|
Depth Estimation (F32)
|
100% |
6587
51.1 IPS |
|
Depth Estimation (F16)
|
100% |
6378
49.5 IPS |
|
Depth Estimation (I8)
|
95% |
4566
35.4 IPS |
|
Style Transfer (F32)
|
100% |
27503
36.2 IPS |
|
Style Transfer (F16)
|
100% |
27485
36.2 IPS |
|
Style Transfer (I8)
|
98% |
17696
23.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3798
135.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
3786
135.2 IPS |
|
Image Super-Resolution (I8)
|
99% |
1640
58.6 IPS |
|
Text Classification (F32)
|
100% |
849
1.22 KIPS |
|
Text Classification (F16)
|
100% |
805
1.16 KIPS |
|
Text Classification (I8)
|
98% |
470
675.7 IPS |
|
Machine Translation (F32)
|
100% |
1107
20.4 IPS |
|
Machine Translation (F16)
|
100% |
1091
20.1 IPS |
|
Machine Translation (I8)
|
70% |
580
10.7 IPS |