Google Pixel 8a
Geekbench AI Score
893
Single Precision Score
1343
Half Precision Score
1018
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 12:24 PM |
| Views | 6 |
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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
97% |
397
74.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4973
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
11923
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11663
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (HP)
|
99% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2486
29.5 IPS |
|
|
Face Detection (Q)
|
96% |
2306
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3296
25.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5480
42.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
4356
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7487
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19406
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18394
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1954
72.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
131.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
177.9 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.0 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.81 IPS |
