Google Pixel 8a
Geekbench AI Score
1461
Single Precision Score
1466
Half Precision Score
2224
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 20 2025 01:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1425
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
1417
263.6 IPS |
|
|
Image Classification (Q)
|
100% |
2283
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2472
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2591
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
4521
5.36 IPS |
|
|
Object Detection (SP)
|
98% |
932
74.2 IPS |
|
|
Object Detection (HP)
|
98% |
923
73.4 IPS |
|
|
Object Detection (Q)
|
83% |
1475
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3418
40.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2056
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2073
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3393
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5060
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5080
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
9698
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1022
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2306
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.2 IPS |
|
|
Text Classification (HP)
|
99% |
452
603.1 IPS |
|
|
Text Classification (Q)
|
88% |
647
872.9 IPS |
|
|
Machine Translation (SP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
