Google Pixel 6
Geekbench AI Score
430
Single Precision Score
545
Half Precision Score
551
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 13 2025 03:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
359
66.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
388
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
83% |
442
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1731
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
62% |
494
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1395
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
1947
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1698
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
373
13.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
168
223.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
91% |
384
516.7 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
57% |
208
5.08 IPS |
