Google Pixel 8a
Geekbench AI Score
1632
Single Precision Score
1639
Half Precision Score
2627
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:53 AM |
| Views | 5 |
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% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
100% |
2567
477.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2804
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6382
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1362
108.4 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
2295
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
95% |
5341
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2400
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4606
42.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5865
7.61 IPS |
|
|
Style Transfer (HP)
|
89% |
5351
6.95 IPS |
|
|
Style Transfer (Q)
|
98% |
9814
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
982
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2277
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.2 IPS |
|
|
Text Classification (HP)
|
99% |
449
599.6 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.6 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
