HP HP Pavilion Laptop 15-eg1xxx
Geekbench ML Score
2147
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:35 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1186
221.9 IPS |
|
|
Image Classification (F16)
|
100% |
1284
240.3 IPS |
|
|
Image Classification (I8)
|
99% |
2378
445.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1519
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3073
3.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
2874
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
8505
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
1223
91.3 IPS |
|
|
Object Detection (I8)
|
62% |
1413
105.5 IPS |
|
|
Face Detection (F32)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (F16)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (I8)
|
89% |
3030
36.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
3770
29.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3159
24.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9311
72.2 IPS |
|
|
Style Transfer (F32)
|
100% |
7031
9.25 IPS |
|
|
Style Transfer (F16)
|
100% |
7557
9.94 IPS |
|
|
Style Transfer (I8)
|
98% |
12069
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1684
60.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1650
58.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3357
119.9 IPS |
|
|
Text Classification (F32)
|
100% |
1399
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1408
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
419
602.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1449
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1479
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1838
33.8 IPS |
