Google Pixel 8a
Geekbench AI Score
895
Single Precision Score
1313
Half Precision Score
1012
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:10 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
97% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1798
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4906
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12441
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12017
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (HP)
|
99% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
83% |
576
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (Q)
|
96% |
2465
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3277
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5468
42.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4381
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7530
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
19574
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18269
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2140
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1973
73.1 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
179.8 IPS |
|
|
Text Classification (Q)
|
32% |
13
172.3 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.81 IPS |
