Google Pixel 8 Pro
Geekbench AI Score
1148
Single Precision Score
1144
Half Precision Score
1886
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 09:56 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
767
142.6 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (Q)
|
100% |
2375
441.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2755
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2995
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
4570
5.42 IPS |
|
|
Object Detection (SP)
|
98% |
1034
82.3 IPS |
|
|
Object Detection (HP)
|
98% |
993
79.0 IPS |
|
|
Object Detection (Q)
|
87% |
846
67.9 IPS |
|
|
Face Detection (SP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (Q)
|
95% |
3336
39.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1710
13.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3716
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3153
4.09 IPS |
|
|
Style Transfer (HP)
|
89% |
4477
5.81 IPS |
|
|
Style Transfer (Q)
|
98% |
9043
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1588
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
243
323.8 IPS |
|
|
Text Classification (HP)
|
99% |
428
571.0 IPS |
|
|
Text Classification (Q)
|
88% |
419
564.9 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
50% |
303
10.8 IPS |
