Google Pixel 6
Geekbench AI Score
313
Single Precision Score
1657
Half Precision Score
4651
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
4497
836.2 IPS |
|
|
Image Classification (Q)
|
99% |
7203
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2182
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
332
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
19229
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47231
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
87% |
553
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (HP)
|
100% |
10122
120.3 IPS |
|
|
Face Detection (Q)
|
97% |
19346
230.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
19385
149.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27613
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
639
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3045
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13663
506.3 IPS |
|
|
Text Classification (SP)
|
100% |
269
358.9 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.3 IPS |
|
|
Text Classification (Q)
|
92% |
1749
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.26 IPS |
