Google Pixel 6
Geekbench AI Score
760
Single Precision Score
752
Half Precision Score
1335
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tommilostny |
| Upload Date | January 15 2025 11:53 PM |
| Views | 4 |
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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
100% |
1011
188.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1628
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
2311
2.74 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
83% |
887
71.7 IPS |
|
|
Face Detection (SP)
|
100% |
1030
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2132
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1345
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2108
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2541
3.30 IPS |
|
|
Style Transfer (HP)
|
89% |
2353
3.06 IPS |
|
|
Style Transfer (Q)
|
98% |
4278
5.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
412
549.4 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.0 IPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (Q)
|
50% |
431
15.3 IPS |
