Google Pixel 8a
Geekbench AI Score
920
Single Precision Score
1334
Half Precision Score
997
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 09:07 AM |
| Views | 7 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.1 IPS |
|
|
Image Classification (Q)
|
97% |
320
59.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1717
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4936
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12107
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11809
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (HP)
|
99% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
83% |
560
45.2 IPS |
|
|
Face Detection (SP)
|
100% |
2034
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (Q)
|
96% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3272
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5612
43.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
4337
41.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7475
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19519
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18308
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1680
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.9 IPS |
|
|
Text Classification (HP)
|
35% |
20
179.9 IPS |
|
|
Text Classification (Q)
|
32% |
11
145.6 IPS |
|
|
Machine Translation (SP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.84 IPS |
