Google Pixel 8a
Geekbench AI Score
332
Single Precision Score
3950
Half Precision Score
7109
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 07:22 PM |
| Views | 13 |
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% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
4779
888.7 IPS |
|
|
Image Classification (Q)
|
99% |
7809
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
7241
117.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16322
265.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30183
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61964
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (Q)
|
87% |
5224
419.0 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
15437
183.4 IPS |
|
|
Face Detection (Q)
|
97% |
22269
265.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
400
3.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
28158
216.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34131
314.2 IPS |
|
|
Style Transfer (SP)
|
100% |
570
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
566
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1583
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7829
289.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15023
556.7 IPS |
|
|
Text Classification (SP)
|
100% |
295
394.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (Q)
|
92% |
1525
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.10 IPS |
