Google Pixel 8a
Geekbench AI Score
926
Single Precision Score
1382
Half Precision Score
1034
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 07:57 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| 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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.2 IPS |
|
|
Image Classification (Q)
|
97% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1668
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4939
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
11668
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11221
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
834
66.2 IPS |
|
|
Object Detection (Q)
|
83% |
785
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (Q)
|
96% |
2215
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3287
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5669
43.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4435
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7510
9.65 IPS |
|
|
Style Transfer (HP)
|
100% |
19277
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18530
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2146
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2040
75.6 IPS |
|
|
Text Classification (SP)
|
35% |
15
133.0 IPS |
|
|
Text Classification (HP)
|
35% |
18
159.2 IPS |
|
|
Text Classification (Q)
|
32% |
12
158.2 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.76 IPS |
