Google Pixel 8a
Geekbench AI Score
1172
Single Precision Score
1195
Half Precision Score
1609
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:25 PM |
| 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% |
1333
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.8 IPS |
|
|
Image Classification (Q)
|
100% |
1119
208.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2186
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2285
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
3474
4.12 IPS |
|
|
Object Detection (SP)
|
98% |
674
53.6 IPS |
|
|
Object Detection (HP)
|
98% |
689
54.8 IPS |
|
|
Object Detection (Q)
|
83% |
984
79.5 IPS |
|
|
Face Detection (SP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
2447
29.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1573
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2376
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3640
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
3659
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6971
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1675
62.1 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (HP)
|
99% |
308
410.7 IPS |
|
|
Text Classification (Q)
|
88% |
443
597.9 IPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
465
16.5 IPS |
