Google Pixel 6 Pro
Geekbench AI Score
914
Single Precision Score
895
Half Precision Score
1631
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | December 30 2024 10:13 AM |
| Views | 7 |
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 | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
100% |
1224
227.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1343
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (Q)
|
84% |
2286
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
1101
88.9 IPS |
|
|
Face Detection (SP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
95% |
2545
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1603
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
2417
22.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2776
3.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2872
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5995
7.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
933
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1556
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
522
696.4 IPS |
|
|
Text Classification (HP)
|
100% |
513
685.0 IPS |
|
|
Text Classification (Q)
|
88% |
1021
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
552
19.6 IPS |
