Google Pixel 6
Geekbench ML Score
322
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 05 2023 12:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
114
12.2 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.84 IPS |
|
|
Image Classification (I8)
|
81% |
274
29.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
1.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
366
2.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
688
4.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.32 IPS |
|
|
Object Detection (F16)
|
100% |
128
4.49 IPS |
|
|
Object Detection (I8)
|
52% |
355
12.5 IPS |
|
|
Face Detection (F32)
|
100% |
368
4.22 IPS |
|
|
Face Detection (F16)
|
100% |
334
3.84 IPS |
|
|
Face Detection (I8)
|
75% |
536
6.16 IPS |
|
|
Text Classification (F32)
|
100% |
904
357.4 IPS |
|
|
Text Classification (F16)
|
100% |
938
370.9 IPS |
|
|
Machine Translation (F32)
|
100% |
689
106.1 IPS |
|
|
Machine Translation (F16)
|
100% |
688
106.1 IPS |
