Google Pixel 6 Pro
Geekbench ML Score
291
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Bazilgr |
| Upload Date | February 23 2023 10:35 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 11.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.53 IPS |
|
|
Image Classification (I8)
|
81% |
245
26.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
346
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
727
4.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
256
1.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (I8)
|
80% |
246
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
121
4.24 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.47 IPS |
|
|
Object Detection (I8)
|
52% |
306
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
399
4.58 IPS |
|
|
Face Detection (F16)
|
100% |
407
4.68 IPS |
|
|
Face Detection (I8)
|
75% |
509
5.85 IPS |
|
|
Text Classification (F32)
|
100% |
417
164.9 IPS |
|
|
Text Classification (F16)
|
100% |
414
163.9 IPS |
|
|
Machine Translation (F32)
|
100% |
587
90.4 IPS |
|
|
Machine Translation (F16)
|
100% |
586
90.3 IPS |
