Google Pixel 8a
Geekbench AI Score
351
Single Precision Score
3913
Half Precision Score
7124
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 08:07 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 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
4764
886.0 IPS |
|
|
Image Classification (Q)
|
99% |
8008
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
7109
115.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16700
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30593
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61885
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (Q)
|
87% |
5405
433.6 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
11718
139.2 IPS |
|
|
Face Detection (Q)
|
97% |
25006
298.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
28362
218.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33759
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
648
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1554
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7918
292.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14806
548.6 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.2 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.8 IPS |
|
|
Text Classification (Q)
|
92% |
1323
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.15 IPS |
