Google Pixel 6 Pro
Geekbench AI Score
1011
Single Precision Score
1005
Half Precision Score
1872
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 09:13 AM |
| Views | 3 |
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% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.8 IPS |
|
|
Image Classification (Q)
|
100% |
1386
257.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1517
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
3010
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
1232
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
2883
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1803
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1783
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2802
25.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3263
4.24 IPS |
|
|
Style Transfer (HP)
|
89% |
2913
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
7010
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1775
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.8 IPS |
|
|
Text Classification (HP)
|
100% |
602
802.9 IPS |
|
|
Text Classification (Q)
|
88% |
1102
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
613
21.7 IPS |
