Google Pixel 6
Geekbench AI Score
942
Single Precision Score
949
Half Precision Score
1712
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
100% |
1290
239.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1963
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2864
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
1137
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1317
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (Q)
|
95% |
2640
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1678
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2592
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2687
3.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3089
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
6384
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.5 IPS |
|
|
Text Classification (HP)
|
100% |
531
708.7 IPS |
|
|
Text Classification (Q)
|
88% |
1007
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
