Google Pixel 8a
Geekbench AI Score
353
Single Precision Score
4106
Half Precision Score
7521
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 8a |
| Model ID | Google Pixel 8a |
| Motherboard | akita |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
5400
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7871
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
6713
108.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15127
246.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30568
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61934
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
3881
307.8 IPS |
|
|
Object Detection (Q)
|
87% |
5540
444.4 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (HP)
|
100% |
15735
187.0 IPS |
|
|
Face Detection (Q)
|
97% |
32448
386.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
26847
206.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
38412
353.6 IPS |
|
|
Style Transfer (SP)
|
100% |
610
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
664
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1729
2.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7835
289.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13668
506.5 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.9 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.2 IPS |
|
|
Text Classification (Q)
|
92% |
1505
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.83 IPS |
