Google Pixel 8
Geekbench AI Score
379
Single Precision Score
4452
Half Precision Score
7146
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 05:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
253
47.1 IPS |
|
|
Image Classification (HP)
|
100% |
4324
804.1 IPS |
|
|
Image Classification (Q)
|
99% |
4505
840.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
8842
143.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16664
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
31116
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
62720
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
4339
344.2 IPS |
|
|
Object Detection (Q)
|
87% |
5192
416.5 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (HP)
|
100% |
20735
246.4 IPS |
|
|
Face Detection (Q)
|
97% |
32788
390.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
31457
242.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
34995
322.2 IPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
782
1.01 IPS |
|
|
Style Transfer (Q)
|
73% |
3034
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7835
289.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13035
483.0 IPS |
|
|
Text Classification (SP)
|
100% |
232
310.2 IPS |
|
|
Text Classification (HP)
|
100% |
269
359.4 IPS |
|
|
Text Classification (Q)
|
92% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.50 IPS |
|
|
Machine Translation (Q)
|
57% |
384
9.38 IPS |
