Google Pixel 6
Geekbench AI Score
927
Single Precision Score
1793
Half Precision Score
1830
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | FarbodKHZ |
| Upload Date | March 29 2026 10:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
916
170.4 IPS |
|
|
Image Classification (Q)
|
99% |
1276
238.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1442
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1722
2.01 IPS |
|
|
Pose Estimation (HP)
|
92% |
4135
4.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
2869
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
97% |
836
66.6 IPS |
|
|
Object Detection (Q)
|
85% |
1127
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
2724
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3364
26.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2655
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3093
4.02 IPS |
|
|
Style Transfer (HP)
|
88% |
4820
6.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6420
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1928
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1670
61.9 IPS |
|
|
Text Classification (SP)
|
100% |
547
729.5 IPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
93% |
1082
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1168
20.2 IPS |
|
|
Machine Translation (Q)
|
55% |
844
22.7 IPS |
