HP HP Pavilion Laptop 15-eg1xxx
Geekbench ML Score
1863
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 01:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP Pavilion Laptop 15-eg1xxx |
| Motherboard | HP 898A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
957
179.2 IPS |
|
|
Image Classification (F16)
|
100% |
940
175.9 IPS |
|
|
Image Classification (I8)
|
100% |
742
138.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
979
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7612
9.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
7887
9.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
4544
5.50 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (I8)
|
54% |
786
58.7 IPS |
|
|
Face Detection (F32)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (I8)
|
89% |
1213
14.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4394
34.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4517
35.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3184
24.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18689
24.6 IPS |
|
|
Style Transfer (F16)
|
100% |
18766
24.7 IPS |
|
|
Style Transfer (I8)
|
98% |
11697
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2852
101.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2850
101.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1260
45.0 IPS |
|
|
Text Classification (F32)
|
100% |
789
1.13 KIPS |
|
|
Text Classification (F16)
|
100% |
607
871.9 IPS |
|
|
Text Classification (I8)
|
98% |
359
515.8 IPS |
|
|
Machine Translation (F32)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (I8)
|
70% |
475
8.75 IPS |
