Google Pixel 6
Geekbench AI Score
925
Single Precision Score
1341
Half Precision Score
1073
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Rock_man77 |
| Upload Date | December 01 2025 04:26 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
390
72.6 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (Q)
|
97% |
559
104.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1772
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
10108
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10001
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
99% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
83% |
549
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (Q)
|
96% |
2635
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4661
36.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3978
37.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9851
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19546
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18260
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2222
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2184
80.9 IPS |
|
|
Text Classification (SP)
|
35% |
19
172.5 IPS |
|
|
Text Classification (HP)
|
29% |
14
234.4 IPS |
|
|
Text Classification (Q)
|
29% |
11
193.3 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
43% |
81
4.74 IPS |
