Google Pixel 8a
Geekbench AI Score
896
Single Precision Score
1378
Half Precision Score
1023
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:33 AM |
| Views | 2 |
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% |
372
69.1 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.5 IPS |
|
|
Image Classification (Q)
|
97% |
382
71.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1734
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4906
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
11596
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11660
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
99% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
83% |
559
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
2105
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (Q)
|
96% |
2267
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5521
42.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
4324
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7478
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19682
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18227
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.0 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.0 IPS |
|
|
Text Classification (Q)
|
32% |
12
150.5 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
