Google Pixel 8a
Geekbench AI Score
372
Single Precision Score
4040
Half Precision Score
6493
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:10 AM |
| Views | 4 |
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% |
237
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
4077
758.2 IPS |
|
|
Image Classification (Q)
|
99% |
4762
888.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
7317
118.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13360
217.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
29936
34.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61369
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
3812
302.4 IPS |
|
|
Object Detection (Q)
|
87% |
4654
373.3 IPS |
|
|
Face Detection (SP)
|
100% |
556
6.61 IPS |
|
|
Face Detection (HP)
|
100% |
13218
157.1 IPS |
|
|
Face Detection (Q)
|
97% |
25476
303.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
26789
206.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
29412
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
728
0.94 IPS |
|
|
Style Transfer (Q)
|
73% |
2888
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.69 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7671
283.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13466
499.0 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.6 IPS |
|
|
Text Classification (HP)
|
100% |
342
455.8 IPS |
|
|
Text Classification (Q)
|
92% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.85 IPS |
