Google Pixel 6 Pro
Geekbench AI Score
902
Single Precision Score
1645
Half Precision Score
1671
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 04:35 AM |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (Q)
|
99% |
1274
237.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2021
2.36 IPS |
|
|
Pose Estimation (HP)
|
92% |
3958
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
2797
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (HP)
|
97% |
808
64.3 IPS |
|
|
Object Detection (Q)
|
85% |
1140
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
2410
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2931
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2335
21.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2747
3.57 IPS |
|
|
Style Transfer (HP)
|
88% |
4218
5.48 IPS |
|
|
Style Transfer (Q)
|
98% |
5782
7.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1669
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1135
42.1 IPS |
|
|
Text Classification (SP)
|
100% |
500
667.4 IPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
93% |
994
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1093
18.9 IPS |
|
|
Machine Translation (Q)
|
55% |
793
21.3 IPS |
