HP HP ENVY Laptop 16-h1xxx
Geekbench ML Score
3752
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:34 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ENVY Laptop 16-h1xxx |
| Motherboard | HP 8BE5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1873
350.5 IPS |
|
|
Image Classification (F16)
|
100% |
1923
359.9 IPS |
|
|
Image Classification (I8)
|
99% |
3575
669.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1757
29.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1705
28.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2985
49.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5883
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
5974
7.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
21542
26.1 IPS |
|
|
Object Detection (F32)
|
100% |
1997
149.1 IPS |
|
|
Object Detection (F16)
|
100% |
1879
140.3 IPS |
|
|
Object Detection (I8)
|
62% |
1802
134.6 IPS |
|
|
Face Detection (F32)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (F16)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (I8)
|
89% |
4674
55.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
7084
54.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6959
54.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12411
96.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13558
17.8 IPS |
|
|
Style Transfer (F16)
|
100% |
13617
17.9 IPS |
|
|
Style Transfer (I8)
|
98% |
21726
28.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2995
107.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3286
117.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4735
169.1 IPS |
|
|
Text Classification (F32)
|
100% |
1490
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1462
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1233
1.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
2063
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2016
37.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3019
55.6 IPS |
