Google Pixel 8a
Geekbench AI Score
888
Single Precision Score
1373
Half Precision Score
1073
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 09 2025 09:11 PM |
| Views | 8 |
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% |
263
48.8 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
97% |
408
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4877
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
12038
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11676
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
99% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
83% |
785
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (Q)
|
96% |
2339
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3269
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5627
43.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4306
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7479
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19413
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18327
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2077
77.0 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.8 IPS |
|
|
Text Classification (HP)
|
35% |
20
181.1 IPS |
|
|
Text Classification (Q)
|
32% |
12
149.9 IPS |
|
|
Machine Translation (SP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.83 IPS |
|
|
Machine Translation (Q)
|
43% |
69
4.01 IPS |
