Upload Date | July 18 2024 10:58 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | HP HP ProBook 450 15.6 inch G9 Notebook PC |
Motherboard | HP 8978 |
Power Plan | HP Optimized (Modern Standby) |
CPU Information | |
---|---|
Name | Intel Core i7-1255U |
Topology | 1 Processor, 10 Cores, 12 Threads |
Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
Base Frequency | 1.70 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 6 |
L1 Data Cache | 48.0 KB x 6 |
L2 Cache | 1.25 MB x 1 |
L3 Cache | 12.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Iris(R) Xe Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1101
206.1 IPS |
|
Image Classification (F16)
|
100% |
1099
205.6 IPS |
|
Image Classification (I8)
|
100% |
898
168.0 IPS |
|
Image Segmentation (F32)
|
100% |
1619
27.0 IPS |
|
Image Segmentation (F16)
|
100% |
1742
29.1 IPS |
|
Image Segmentation (I8)
|
98% |
1238
20.7 IPS |
|
Pose Estimation (F32)
|
100% |
10106
12.2 IPS |
|
Pose Estimation (F16)
|
100% |
10113
12.2 IPS |
|
Pose Estimation (I8)
|
100% |
5174
6.27 IPS |
|
Object Detection (F32)
|
100% |
1205
90.0 IPS |
|
Object Detection (F16)
|
100% |
1231
91.9 IPS |
|
Object Detection (I8)
|
54% |
1017
75.9 IPS |
|
Face Detection (F32)
|
100% |
2289
27.2 IPS |
|
Face Detection (F16)
|
100% |
2311
27.5 IPS |
|
Face Detection (I8)
|
89% |
1512
18.0 IPS |
|
Depth Estimation (F32)
|
100% |
5302
41.1 IPS |
|
Depth Estimation (F16)
|
100% |
5315
41.2 IPS |
|
Depth Estimation (I8)
|
95% |
3740
29.0 IPS |
|
Style Transfer (F32)
|
100% |
21385
28.1 IPS |
|
Style Transfer (F16)
|
100% |
22661
29.8 IPS |
|
Style Transfer (I8)
|
98% |
13742
18.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
3245
115.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
3306
118.1 IPS |
|
Image Super-Resolution (I8)
|
99% |
1395
49.8 IPS |
|
Text Classification (F32)
|
100% |
781
1.12 KIPS |
|
Text Classification (F16)
|
100% |
786
1.13 KIPS |
|
Text Classification (I8)
|
98% |
402
577.4 IPS |
|
Machine Translation (F32)
|
100% |
996
18.3 IPS |
|
Machine Translation (F16)
|
100% |
1005
18.5 IPS |
|
Machine Translation (I8)
|
70% |
518
9.53 IPS |