Google Pixel 6
Geekbench AI Score
755
Single Precision Score
745
Half Precision Score
1250
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
100% |
1161
215.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2092
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (HP)
|
100% |
322
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
739
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
1865
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1324
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1328
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
1710
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2411
3.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2194
2.85 IPS |
|
|
Style Transfer (Q)
|
98% |
4796
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.8 IPS |
|
|
Text Classification (HP)
|
100% |
377
503.2 IPS |
|
|
Text Classification (Q)
|
88% |
649
874.8 IPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
