Google Pixel 8a
Geekbench AI Score
1172
Single Precision Score
1139
Half Precision Score
1626
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:05 AM |
| 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% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (Q)
|
100% |
2246
417.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2394
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1710
2.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
3312
3.93 IPS |
|
|
Object Detection (SP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (HP)
|
98% |
692
55.1 IPS |
|
|
Object Detection (Q)
|
83% |
990
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (Q)
|
95% |
2281
27.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1511
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1562
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2439
22.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3694
4.79 IPS |
|
|
Style Transfer (HP)
|
89% |
3787
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
6952
8.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
730
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1654
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.3 IPS |
|
|
Text Classification (HP)
|
99% |
312
417.0 IPS |
|
|
Text Classification (Q)
|
88% |
380
511.9 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
