Google Pixel 8a
Geekbench AI Score
406
Single Precision Score
4374
Half Precision Score
7268
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 26 2025 03:46 PM |
| Views | 7 |
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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
5418
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
6384
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
8180
132.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15565
253.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
30522
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
61636
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
3856
305.8 IPS |
|
|
Object Detection (Q)
|
87% |
4858
389.7 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
13705
162.8 IPS |
|
|
Face Detection (Q)
|
97% |
26880
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
26281
202.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
30458
280.4 IPS |
|
|
Style Transfer (SP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (Q)
|
72% |
2991
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
279
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7795
287.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17178
636.5 IPS |
|
|
Text Classification (SP)
|
100% |
400
533.4 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (Q)
|
92% |
845
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
57% |
389
9.50 IPS |
