Google Pixel 8
Geekbench AI Score
375
Single Precision Score
4240
Half Precision Score
7356
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:28 AM |
| Views | 3 |
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% |
258
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
5683
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7926
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
6952
112.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13367
217.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30137
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61926
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
4867
386.1 IPS |
|
|
Object Detection (Q)
|
87% |
5299
425.1 IPS |
|
|
Face Detection (SP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (HP)
|
100% |
14887
176.9 IPS |
|
|
Face Detection (Q)
|
97% |
26169
312.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
26851
206.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34272
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1737
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
265
9.79 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7512
277.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13984
518.2 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.4 IPS |
|
|
Text Classification (HP)
|
100% |
361
481.8 IPS |
|
|
Text Classification (Q)
|
92% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.91 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.63 IPS |
