Google Pixel 6 Pro
Geekbench AI Score
498
Single Precision Score
645
Half Precision Score
614
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 09:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
293
54.5 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
99% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
341
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
432
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (HP)
|
100% |
411
32.6 IPS |
|
|
Object Detection (Q)
|
83% |
373
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1720
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1787
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
518
3.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
635
4.89 IPS |
|
|
Depth Estimation (Q)
|
62% |
502
4.75 IPS |
|
|
Style Transfer (SP)
|
100% |
1421
1.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2544
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
2521
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
326
434.9 IPS |
|
|
Text Classification (HP)
|
100% |
324
432.4 IPS |
|
|
Text Classification (Q)
|
91% |
543
730.5 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
57% |
342
8.35 IPS |
