Google Pixel 8a
Geekbench AI Score
929
Single Precision Score
1339
Half Precision Score
1001
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:31 PM |
| 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% |
416
77.3 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
97% |
382
71.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5011
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
12096
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11308
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
99% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
83% |
540
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2454
29.2 IPS |
|
|
Face Detection (Q)
|
96% |
2322
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3280
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5544
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4433
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7525
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
19870
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18472
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1973
73.1 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.8 IPS |
|
|
Text Classification (HP)
|
35% |
20
182.9 IPS |
|
|
Text Classification (Q)
|
32% |
11
142.3 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.09 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
