Google Pixel 8a
Geekbench AI Score
383
Single Precision Score
4040
Half Precision Score
6784
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 07:41 AM |
| 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% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
4481
833.3 IPS |
|
|
Image Classification (Q)
|
99% |
5460
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
6305
102.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13280
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
394
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30613
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
60933
71.4 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
3866
306.6 IPS |
|
|
Object Detection (Q)
|
87% |
4644
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.80 IPS |
|
|
Face Detection (HP)
|
100% |
16863
200.4 IPS |
|
|
Face Detection (Q)
|
97% |
26882
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
27115
208.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34788
320.2 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (Q)
|
73% |
2827
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
266
9.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14643
542.6 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.6 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.8 IPS |
|
|
Text Classification (Q)
|
92% |
815
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
