Google Pixel 8a
Geekbench AI Score
347
Single Precision Score
3976
Half Precision Score
7090
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:57 AM |
| Views | 8 |
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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
5652
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
6229
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
8025
130.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18480
300.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30261
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61800
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
3843
304.8 IPS |
|
|
Object Detection (Q)
|
87% |
5458
437.9 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (HP)
|
100% |
11624
138.1 IPS |
|
|
Face Detection (Q)
|
97% |
24728
294.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
468
3.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
26353
203.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
34413
316.8 IPS |
|
|
Style Transfer (SP)
|
100% |
641
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
637
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1569
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7975
294.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14488
536.9 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.6 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (Q)
|
92% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
57% |
315
7.69 IPS |
