Google Pixel 6 Pro
Geekbench AI Score
304
Single Precision Score
1606
Half Precision Score
4581
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:26 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 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
193
35.9 IPS |
|
|
Image Classification (HP)
|
100% |
4125
767.2 IPS |
|
|
Image Classification (Q)
|
99% |
6872
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
3483
56.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2151
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
19178
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47231
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
87% |
527
42.3 IPS |
|
|
Face Detection (SP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (HP)
|
100% |
9894
117.6 IPS |
|
|
Face Detection (Q)
|
97% |
19309
230.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
19150
147.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
27709
255.1 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3016
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
178
6.57 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13544
501.9 IPS |
|
|
Text Classification (SP)
|
100% |
253
337.9 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.4 IPS |
|
|
Text Classification (Q)
|
92% |
1683
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
57% |
301
7.36 IPS |
