Google Pixel 6
Geekbench ML Score
376
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | mchus |
| Upload Date | August 13 2023 09:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.41 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
120
12.9 IPS |
|
|
Image Classification (F16)
|
100% |
99
10.6 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
450
2.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
456
2.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
731
4.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
286
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
267
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
160
5.63 IPS |
|
|
Object Detection (F16)
|
100% |
263
9.22 IPS |
|
|
Object Detection (I8)
|
52% |
357
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
559
6.42 IPS |
|
|
Face Detection (F16)
|
100% |
583
6.69 IPS |
|
|
Face Detection (I8)
|
75% |
542
6.23 IPS |
|
|
Text Classification (F32)
|
100% |
892
352.9 IPS |
|
|
Text Classification (F16)
|
100% |
917
362.5 IPS |
|
|
Machine Translation (F32)
|
100% |
677
104.3 IPS |
|
|
Machine Translation (F16)
|
100% |
670
103.2 IPS |
