Google Pixel 8a
Geekbench AI Score
898
Single Precision Score
1418
Half Precision Score
1031
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:04 AM |
| Views | 11 |
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% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (Q)
|
97% |
343
64.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1852
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4915
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
11967
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11448
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
99% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
83% |
588
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
2143
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (Q)
|
96% |
2330
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3274
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5540
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4297
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7489
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19562
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18538
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2111
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2056
76.2 IPS |
|
|
Text Classification (SP)
|
35% |
16
149.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.5 IPS |
|
|
Text Classification (Q)
|
32% |
13
171.7 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.70 IPS |
