Huawei Nexus 6P
Geekbench ML Score
86
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | February 23 2025 09:09 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| Model | Huawei Nexus 6P |
| Model ID | Huawei Nexus 6P |
| Motherboard | angler |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3335 revision 1 |
| Base Frequency | 1.56 GHz |
| Cluster 1 | 4 Cores @ 1.56 GHz |
| Cluster 2 | 4 Cores @ 1.96 GHz |
| Memory Information | |
|---|---|
| Size | 2.73 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
56
6.05 IPS |
|
|
Image Classification (F16)
|
100% |
54
5.83 IPS |
|
|
Image Classification (I8)
|
81% |
84
8.96 IPS |
|
|
Image Segmentation (F32)
|
100% |
127
0.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
130
0.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
350
2.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
86
3.02 IPS |
|
|
Object Detection (F16)
|
100% |
85
2.97 IPS |
|
|
Object Detection (I8)
|
52% |
113
3.98 IPS |
|
|
Face Detection (F32)
|
100% |
131
1.50 IPS |
|
|
Face Detection (F16)
|
100% |
121
1.39 IPS |
|
|
Face Detection (I8)
|
75% |
174
2.00 IPS |
|
|
Text Classification (F32)
|
100% |
69
27.2 IPS |
|
|
Text Classification (F16)
|
100% |
75
29.8 IPS |
|
|
Machine Translation (F32)
|
100% |
59
9.03 IPS |
|
|
Machine Translation (F16)
|
100% |
59
9.13 IPS |
