Google Pixel 8a
Geekbench AI Score
321
Single Precision Score
3481
Half Precision Score
6416
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:50 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
99% |
5231
975.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
6355
103.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14296
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29968
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62831
73.6 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
3734
296.1 IPS |
|
|
Object Detection (Q)
|
87% |
4903
393.3 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
10874
129.2 IPS |
|
|
Face Detection (Q)
|
97% |
24784
295.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
399
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
25715
198.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
32855
302.4 IPS |
|
|
Style Transfer (SP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2347
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12047
446.4 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.0 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.3 IPS |
|
|
Text Classification (Q)
|
92% |
842
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
