HP HP ENVY Laptop 16-h1xxx
Geekbench ML Score
3772
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:31 PM |
| Views | 2 |
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% |
1951
365.1 IPS |
|
|
Image Classification (F16)
|
100% |
1881
351.9 IPS |
|
|
Image Classification (I8)
|
99% |
3526
659.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1758
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1764
29.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3145
52.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5948
7.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
5825
7.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
20149
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1749
130.6 IPS |
|
|
Object Detection (F16)
|
100% |
2027
151.3 IPS |
|
|
Object Detection (I8)
|
62% |
1905
142.2 IPS |
|
|
Face Detection (F32)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (F16)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (I8)
|
89% |
4373
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6895
53.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7500
58.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12749
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14813
19.5 IPS |
|
|
Style Transfer (F16)
|
100% |
14204
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
22241
29.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3412
121.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3067
109.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4917
175.6 IPS |
|
|
Text Classification (F32)
|
100% |
1470
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1462
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1259
1.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
2004
36.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1986
36.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2904
53.5 IPS |
