Google Pixel 6 Pro
Geekbench ML Score
601
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 10 2024 03:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
297
55.5 IPS |
|
|
Image Classification (F16)
|
100% |
442
82.7 IPS |
|
|
Image Classification (I8)
|
97% |
395
73.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
626
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1006
16.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
918
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
326
0.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
425
0.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
424
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
364
27.1 IPS |
|
|
Object Detection (I8)
|
62% |
315
23.5 IPS |
|
|
Face Detection (F32)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (F16)
|
98% |
1907
22.7 IPS |
|
|
Face Detection (I8)
|
86% |
1770
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
583
4.52 IPS |
|
|
Depth Estimation (F16)
|
100% |
679
5.27 IPS |
|
|
Depth Estimation (I8)
|
95% |
716
5.56 IPS |
|
|
Style Transfer (F32)
|
100% |
1386
1.82 IPS |
|
|
Style Transfer (F16)
|
100% |
2542
3.34 IPS |
|
|
Style Transfer (I8)
|
98% |
2539
3.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
443
15.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
676
24.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
707
25.3 IPS |
|
|
Text Classification (F32)
|
100% |
247
355.1 IPS |
|
|
Text Classification (F16)
|
100% |
247
354.6 IPS |
|
|
Text Classification (I8)
|
92% |
484
695.2 IPS |
|
|
Machine Translation (F32)
|
100% |
375
6.90 IPS |
|
|
Machine Translation (F16)
|
100% |
374
6.89 IPS |
|
|
Machine Translation (I8)
|
64% |
378
6.95 IPS |
