Google Pixel 8a
Geekbench AI Score
370
Single Precision Score
4285
Half Precision Score
7206
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 02:45 AM |
| Views | 6 |
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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7374
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
8047
130.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15782
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
383
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30903
36.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
61914
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4610
365.7 IPS |
|
|
Object Detection (Q)
|
87% |
5229
419.5 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
12194
144.9 IPS |
|
|
Face Detection (Q)
|
97% |
25186
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
496
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
28777
221.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33735
310.5 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
718
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1808
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7486
276.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14262
528.5 IPS |
|
|
Text Classification (SP)
|
100% |
342
457.1 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.5 IPS |
|
|
Text Classification (Q)
|
92% |
1382
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
57% |
331
8.08 IPS |
