Google Pixel 8a
Geekbench AI Score
953
Single Precision Score
1388
Half Precision Score
1073
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:43 PM |
| Views | 6 |
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% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.1 IPS |
|
|
Image Classification (Q)
|
97% |
550
102.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1814
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
12317
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (HP)
|
99% |
547
43.4 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (Q)
|
96% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3270
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5552
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4426
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7524
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
19594
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18408
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1891
70.1 IPS |
|
|
Text Classification (SP)
|
35% |
19
171.6 IPS |
|
|
Text Classification (HP)
|
35% |
16
149.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
153.5 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.82 IPS |
