Google Pixel 6 Pro
Geekbench ML Score
350
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 01 2021 02:52 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
239
25.6 IPS |
|
|
Image Classification (F16)
|
100% |
131
14.0 IPS |
|
|
Image Classification (I8)
|
81% |
223
23.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
523
3.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
584
3.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
698
4.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
278
1.12 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
168
5.88 IPS |
|
|
Object Detection (F16)
|
100% |
130
4.56 IPS |
|
|
Object Detection (I8)
|
52% |
281
9.85 IPS |
|
|
Face Detection (F32)
|
100% |
618
7.10 IPS |
|
|
Face Detection (F16)
|
100% |
594
6.83 IPS |
|
|
Face Detection (I8)
|
75% |
468
5.38 IPS |
|
|
Text Classification (F32)
|
100% |
410
162.2 IPS |
|
|
Text Classification (F16)
|
100% |
396
156.6 IPS |
|
|
Machine Translation (F32)
|
100% |
690
106.3 IPS |
|
|
Machine Translation (F16)
|
100% |
688
106.0 IPS |
