Google Pixel 6 Pro
Geekbench ML Score
320
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2022 06:52 AM |
| Views | 1 |
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% |
115
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
100
10.7 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
332
2.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
935
5.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
293
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
292
1.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
246
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
145
5.09 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.87 IPS |
|
|
Object Detection (I8)
|
52% |
309
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.15 IPS |
|
|
Face Detection (F16)
|
100% |
434
4.99 IPS |
|
|
Face Detection (I8)
|
75% |
602
6.91 IPS |
|
|
Text Classification (F32)
|
100% |
362
143.1 IPS |
|
|
Text Classification (F16)
|
100% |
361
142.9 IPS |
|
|
Machine Translation (F32)
|
100% |
693
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
692
106.7 IPS |
