Google Pixel 8 Pro
Geekbench AI Score
413
Single Precision Score
4707
Half Precision Score
5929
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 10:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
4452
828.0 IPS |
|
|
Image Classification (Q)
|
99% |
5066
944.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
9412
152.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19087
310.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
416
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
31205
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62327
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
4659
369.6 IPS |
|
|
Object Detection (Q)
|
90% |
5895
471.3 IPS |
|
|
Face Detection (SP)
|
100% |
583
6.93 IPS |
|
|
Face Detection (HP)
|
100% |
17072
202.9 IPS |
|
|
Face Detection (Q)
|
97% |
29279
349.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
525
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
32632
251.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
36711
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
799
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
27% |
208
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9237
341.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17730
657.0 IPS |
|
|
Text Classification (SP)
|
100% |
392
523.5 IPS |
|
|
Text Classification (HP)
|
100% |
396
528.9 IPS |
|
|
Text Classification (Q)
|
92% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
563
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
57% |
372
9.10 IPS |
