Google Pixel 8a
Geekbench AI Score
914
Single Precision Score
1430
Half Precision Score
1127
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 07 2025 12:21 AM |
| Views | 10 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
363
67.4 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (Q)
|
97% |
378
70.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1748
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4879
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
12024
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12077
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.8 IPS |
|
|
Object Detection (HP)
|
99% |
826
65.5 IPS |
|
|
Object Detection (Q)
|
83% |
926
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
2106
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (Q)
|
96% |
2279
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3271
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5500
42.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4354
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7501
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19504
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18391
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2060
76.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.8 IPS |
|
|
Text Classification (HP)
|
35% |
19
174.6 IPS |
|
|
Text Classification (Q)
|
32% |
14
176.5 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (Q)
|
43% |
85
4.93 IPS |
