Google Pixel 8a
Geekbench AI Score
1252
Single Precision Score
1239
Half Precision Score
1604
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1232
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (Q)
|
100% |
957
178.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1551
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2354
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3313
3.93 IPS |
|
|
Object Detection (SP)
|
98% |
686
54.6 IPS |
|
|
Object Detection (HP)
|
98% |
670
53.3 IPS |
|
|
Object Detection (Q)
|
83% |
948
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (Q)
|
95% |
2388
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2315
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
4962
6.44 IPS |
|
|
Style Transfer (HP)
|
89% |
5044
6.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9755
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.3 IPS |
|
|
Text Classification (HP)
|
99% |
365
487.6 IPS |
|
|
Text Classification (Q)
|
88% |
505
680.6 IPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
284
10.1 IPS |
