Google Pixel 6
Geekbench AI Score
834
Single Precision Score
827
Half Precision Score
1494
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 08:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
100% |
1181
219.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1742
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1698
1.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
2590
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
1096
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
95% |
2380
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1460
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2162
19.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2720
3.53 IPS |
|
|
Style Transfer (HP)
|
89% |
2722
3.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5233
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1355
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
429
572.0 IPS |
|
|
Text Classification (HP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (Q)
|
88% |
710
957.8 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
486
17.3 IPS |
