HP HP Pavilion Laptop 15-eg1xxx
Geekbench ML Score
1776
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 04:00 PM |
| Views | 1 |
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% |
931
174.2 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
|
Image Classification (I8)
|
100% |
774
144.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1278
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
992
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7626
9.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
7601
9.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
4113
4.98 IPS |
|
|
Object Detection (F32)
|
100% |
964
72.0 IPS |
|
|
Object Detection (F16)
|
100% |
973
72.7 IPS |
|
|
Object Detection (I8)
|
54% |
836
62.4 IPS |
|
|
Face Detection (F32)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1510
18.0 IPS |
|
|
Face Detection (I8)
|
89% |
984
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4176
32.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4026
31.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3029
23.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18443
24.3 IPS |
|
|
Style Transfer (F16)
|
100% |
17402
22.9 IPS |
|
|
Style Transfer (I8)
|
98% |
10946
14.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2877
102.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1231
44.0 IPS |
|
|
Text Classification (F32)
|
100% |
611
878.7 IPS |
|
|
Text Classification (F16)
|
100% |
616
885.1 IPS |
|
|
Text Classification (I8)
|
98% |
396
569.3 IPS |
|
|
Machine Translation (F32)
|
100% |
819
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
827
15.2 IPS |
|
|
Machine Translation (I8)
|
70% |
448
8.25 IPS |
