Google Pixel 8a
Geekbench AI Score
1398
Single Precision Score
1321
Half Precision Score
1938
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:33 PM |
| Views | 10 |
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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (Q)
|
100% |
2444
454.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2341
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
84% |
4559
5.41 IPS |
|
|
Object Detection (SP)
|
98% |
990
78.8 IPS |
|
|
Object Detection (HP)
|
98% |
994
79.1 IPS |
|
|
Object Detection (Q)
|
83% |
1236
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (Q)
|
95% |
2474
29.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2380
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
4979
6.46 IPS |
|
|
Style Transfer (HP)
|
89% |
4973
6.46 IPS |
|
|
Style Transfer (Q)
|
98% |
9569
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2266
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.7 IPS |
|
|
Text Classification (HP)
|
99% |
444
593.1 IPS |
|
|
Text Classification (Q)
|
88% |
638
860.8 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
286
10.1 IPS |
