Google Pixel 6 Pro
Geekbench AI Score
966
Single Precision Score
959
Half Precision Score
1766
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 01:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1304
242.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1994
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2833
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
1187
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
95% |
2679
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2627
24.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3092
4.01 IPS |
|
|
Style Transfer (HP)
|
89% |
3088
4.01 IPS |
|
|
Style Transfer (Q)
|
98% |
6436
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
986
36.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1680
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
543
724.8 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.0 IPS |
|
|
Text Classification (Q)
|
88% |
1062
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
50% |
579
20.6 IPS |
