Google Pixel 8
Geekbench AI Score
643
Single Precision Score
755
Half Precision Score
745
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
97% |
480
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
810
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
459
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (HP)
|
100% |
526
41.8 IPS |
|
|
Object Detection (Q)
|
92% |
546
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
1501
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
860
6.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
1038
8.00 IPS |
|
|
Depth Estimation (Q)
|
72% |
961
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2406
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2909
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
2892
3.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.7 IPS |
|
|
Text Classification (HP)
|
100% |
341
455.0 IPS |
|
|
Text Classification (Q)
|
91% |
540
725.6 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.65 IPS |
