Google Pixel 6 Pro
Geekbench AI Score
673
Single Precision Score
640
Half Precision Score
1167
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
340
63.2 IPS |
|
|
Image Classification (Q)
|
100% |
1292
240.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1334
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1804
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1681
1.96 IPS |
|
|
Pose Estimation (Q)
|
84% |
2406
2.85 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (Q)
|
83% |
739
59.7 IPS |
|
|
Face Detection (SP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
1662
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1176
9.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
1702
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2171
2.82 IPS |
|
|
Style Transfer (HP)
|
89% |
2039
2.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3339
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
869
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.7 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.2 IPS |
|
|
Text Classification (Q)
|
88% |
517
697.8 IPS |
|
|
Machine Translation (SP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.10 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.9 IPS |
