Google Pixel 8a
Geekbench AI Score
923
Single Precision Score
1364
Half Precision Score
1043
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:02 AM |
| Views | 13 |
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% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.7 IPS |
|
|
Image Classification (Q)
|
97% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1735
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
12436
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12042
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
504
40.0 IPS |
|
|
Object Detection (HP)
|
99% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
83% |
530
42.8 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (Q)
|
96% |
2414
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3289
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5425
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4350
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7486
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19873
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
18466
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1987
73.6 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.9 IPS |
|
|
Text Classification (HP)
|
35% |
22
197.7 IPS |
|
|
Text Classification (Q)
|
32% |
13
172.9 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.72 IPS |
