Google Pixel 6 Pro
Geekbench ML Score
321
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2022 01:39 PM |
| 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% |
122
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
102
10.9 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
353
2.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
916
5.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
245
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
145
5.10 IPS |
|
|
Object Detection (F16)
|
100% |
140
4.90 IPS |
|
|
Object Detection (I8)
|
52% |
317
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
452
5.19 IPS |
|
|
Face Detection (F16)
|
100% |
463
5.32 IPS |
|
|
Face Detection (I8)
|
75% |
602
6.91 IPS |
|
|
Text Classification (F32)
|
100% |
355
140.4 IPS |
|
|
Text Classification (F16)
|
100% |
398
157.3 IPS |
|
|
Machine Translation (F32)
|
100% |
692
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
688
106.0 IPS |
