Google Pixel 8a
Geekbench AI Score
912
Single Precision Score
1401
Half Precision Score
1056
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:45 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% |
358
66.5 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.6 IPS |
|
|
Image Classification (Q)
|
97% |
316
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
12104
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11690
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
99% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
83% |
717
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (Q)
|
96% |
2427
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3251
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5549
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4394
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7491
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19722
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18658
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2093
77.6 IPS |
|
|
Text Classification (SP)
|
35% |
16
149.8 IPS |
|
|
Text Classification (HP)
|
35% |
22
201.9 IPS |
|
|
Text Classification (Q)
|
32% |
14
180.5 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
