Google Pixel 8a
Geekbench AI Score
342
Single Precision Score
4070
Half Precision Score
7699
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:18 PM |
| Views | 3 |
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% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
5597
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7626
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
7183
116.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15751
256.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30889
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62000
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (Q)
|
87% |
5250
421.2 IPS |
|
|
Face Detection (SP)
|
100% |
469
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
11605
137.9 IPS |
|
|
Face Detection (Q)
|
97% |
28727
342.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
484
3.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
28449
219.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
32625
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
585
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
583
0.75 IPS |
|
|
Style Transfer (Q)
|
72% |
2987
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8411
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14968
554.6 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.1 IPS |
|
|
Text Classification (Q)
|
92% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.85 IPS |
