Google Pixel 6 Pro
Geekbench AI Score
926
Single Precision Score
924
Half Precision Score
1687
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 01:25 PM |
| Views | 4 |
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% |
473
87.9 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
100% |
1205
224.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1865
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
2703
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
83% |
1114
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
2567
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1625
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1644
12.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2525
23.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2911
3.78 IPS |
|
|
Style Transfer (HP)
|
89% |
2925
3.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6182
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1614
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.4 IPS |
|
|
Text Classification (HP)
|
100% |
553
738.2 IPS |
|
|
Text Classification (Q)
|
88% |
1051
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
561
19.9 IPS |
