Google Pixel 6
Geekbench AI Score
311
Single Precision Score
1630
Half Precision Score
4679
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:27 PM |
| Views | 1 |
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% |
4412
820.5 IPS |
|
|
Image Classification (Q)
|
99% |
7583
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2170
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
337
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
19234
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47008
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
87% |
552
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.56 IPS |
|
|
Face Detection (HP)
|
100% |
9820
116.7 IPS |
|
|
Face Detection (Q)
|
97% |
18939
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
19642
151.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27662
254.6 IPS |
|
|
Style Transfer (SP)
|
100% |
678
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
3103
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.85 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13616
504.5 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.2 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.8 IPS |
|
|
Text Classification (Q)
|
92% |
1781
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.31 IPS |
