Google Pixel 8a
Geekbench AI Score
361
Single Precision Score
3976
Half Precision Score
7123
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 09:30 AM |
| Views | 7 |
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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
5389
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7254
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
6620
107.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14843
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
31474
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62066
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4506
357.4 IPS |
|
|
Object Detection (Q)
|
87% |
5606
449.7 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
11226
133.4 IPS |
|
|
Face Detection (Q)
|
97% |
22916
273.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
26658
205.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33150
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
674
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1763
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8092
298.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14802
548.5 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.2 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.5 IPS |
|
|
Text Classification (Q)
|
92% |
1562
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.09 IPS |
