Google Pixel 8a
Geekbench AI Score
932
Single Precision Score
1388
Half Precision Score
1087
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 02:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
398
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
97% |
515
96.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4942
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
11974
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11684
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (HP)
|
99% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
83% |
709
57.2 IPS |
|
|
Face Detection (SP)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (Q)
|
96% |
2484
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3284
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5674
43.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4411
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7489
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19480
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18427
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2076
76.9 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.2 IPS |
|
|
Text Classification (HP)
|
35% |
20
181.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
150.0 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
