Google Pixel 8a
Geekbench AI Score
918
Single Precision Score
1355
Half Precision Score
1050
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 06 2025 12:00 AM |
| Views | 2 |
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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
97% |
404
75.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2132
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4893
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11552
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10792
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (HP)
|
99% |
611
48.4 IPS |
|
|
Object Detection (Q)
|
83% |
590
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
2124
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (Q)
|
96% |
2362
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3262
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5622
43.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4345
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7560
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
19395
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18433
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2114
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2031
75.3 IPS |
|
|
Text Classification (SP)
|
35% |
17
156.6 IPS |
|
|
Text Classification (HP)
|
35% |
17
158.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
151.0 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.11 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
