Google Pixel 8a
Geekbench AI Score
929
Single Precision Score
1340
Half Precision Score
1029
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:00 AM |
| Views | 8 |
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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
97% |
397
74.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1565
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4910
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
12369
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11955
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
99% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
2111
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (Q)
|
96% |
2333
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3252
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5448
42.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4315
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7507
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19583
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18433
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1974
73.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.9 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.7 IPS |
|
|
Text Classification (Q)
|
32% |
13
161.9 IPS |
|
|
Machine Translation (SP)
|
100% |
223
3.84 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.71 IPS |
