Google Pixel 8a
Geekbench AI Score
913
Single Precision Score
1325
Half Precision Score
1014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
409
76.0 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.5 IPS |
|
|
Image Classification (Q)
|
97% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1458
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4872
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
12326
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
542
43.0 IPS |
|
|
Object Detection (Q)
|
83% |
586
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (Q)
|
96% |
2292
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3266
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5428
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4311
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19559
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18572
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.5 IPS |
|
|
Text Classification (HP)
|
35% |
21
187.1 IPS |
|
|
Text Classification (Q)
|
32% |
14
184.8 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
