Google Pixel 6 Pro
Geekbench ML Score
763
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 06 2024 04:04 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
324
60.7 IPS |
|
|
Image Classification (F16)
|
100% |
297
55.5 IPS |
|
|
Image Classification (I8)
|
97% |
745
139.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
428
7.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.16 IPS |
|
|
Image Segmentation (I8)
|
98% |
706
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
715
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
691
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
3792
4.59 IPS |
|
|
Object Detection (F32)
|
100% |
366
27.3 IPS |
|
|
Object Detection (F16)
|
100% |
382
28.5 IPS |
|
|
Object Detection (I8)
|
61% |
875
65.4 IPS |
|
|
Face Detection (F32)
|
100% |
769
9.14 IPS |
|
|
Face Detection (F16)
|
100% |
744
8.85 IPS |
|
|
Face Detection (I8)
|
86% |
1861
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
731
5.67 IPS |
|
|
Depth Estimation (F16)
|
100% |
714
5.54 IPS |
|
|
Depth Estimation (I8)
|
95% |
1631
12.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1260
1.66 IPS |
|
|
Style Transfer (F16)
|
100% |
1236
1.63 IPS |
|
|
Style Transfer (I8)
|
98% |
2966
3.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
563
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1986
70.9 IPS |
|
|
Text Classification (F32)
|
100% |
541
777.6 IPS |
|
|
Text Classification (F16)
|
100% |
561
805.6 IPS |
|
|
Text Classification (I8)
|
92% |
544
782.2 IPS |
|
|
Machine Translation (F32)
|
100% |
930
17.1 IPS |
|
|
Machine Translation (F16)
|
100% |
846
15.6 IPS |
|
|
Machine Translation (I8)
|
64% |
430
7.91 IPS |
