Google Pixel 8a
Geekbench AI Score
927
Single Precision Score
1350
Half Precision Score
1013
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:40 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% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
97% |
285
53.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1617
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12340
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12046
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
99% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
83% |
534
43.1 IPS |
|
|
Face Detection (SP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (Q)
|
96% |
2016
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3293
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5426
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4437
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19865
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18373
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2005
74.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
145.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.0 IPS |
|
|
Text Classification (Q)
|
32% |
13
174.2 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
43% |
90
5.24 IPS |
