Google Pixel 6 Pro
Geekbench AI Score
804
Single Precision Score
822
Half Precision Score
1516
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 09:15 PM |
| Views | 2 |
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% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
100% |
1120
208.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1224
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1672
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1638
1.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
2355
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
83% |
1000
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1160
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2275
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1417
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2216
20.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2716
3.53 IPS |
|
|
Style Transfer (HP)
|
89% |
2686
3.49 IPS |
|
|
Style Transfer (Q)
|
98% |
5502
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1527
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.1 IPS |
|
|
Text Classification (HP)
|
100% |
510
681.2 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
523
18.6 IPS |
