Google Pixel 8
Geekbench AI Score
407
Single Precision Score
4504
Half Precision Score
7669
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
271
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
5611
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6741
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
7127
115.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15845
257.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31008
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63251
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
4533
359.5 IPS |
|
|
Object Detection (Q)
|
87% |
7215
578.7 IPS |
|
|
Face Detection (SP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (HP)
|
100% |
12966
154.1 IPS |
|
|
Face Detection (Q)
|
97% |
25486
303.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
30191
232.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
34015
313.1 IPS |
|
|
Style Transfer (SP)
|
100% |
797
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1915
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8668
320.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13912
515.5 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.9 IPS |
|
|
Text Classification (HP)
|
100% |
398
531.7 IPS |
|
|
Text Classification (Q)
|
92% |
1575
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
57% |
397
9.70 IPS |
