Google Pixel 8a
Geekbench AI Score
894
Single Precision Score
1310
Half Precision Score
1033
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:33 AM |
| 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% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
97% |
371
69.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4863
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
11556
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11343
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
99% |
606
48.0 IPS |
|
|
Object Detection (Q)
|
83% |
596
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (Q)
|
96% |
2428
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3276
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5408
41.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4346
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7495
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19497
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18365
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2011
74.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.9 IPS |
|
|
Text Classification (HP)
|
35% |
17
153.9 IPS |
|
|
Text Classification (Q)
|
32% |
12
151.5 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.84 IPS |
