Google Pixel 8a
Geekbench AI Score
943
Single Precision Score
1345
Half Precision Score
1033
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:03 AM |
| Views | 5 |
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% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
97% |
373
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1769
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4971
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
12050
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11801
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (HP)
|
99% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
83% |
571
46.1 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2288
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5625
43.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
4389
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7499
9.64 IPS |
|
|
Style Transfer (HP)
|
100% |
19602
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18756
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2091
77.5 IPS |
|
|
Text Classification (SP)
|
35% |
15
140.3 IPS |
|
|
Text Classification (HP)
|
35% |
17
157.9 IPS |
|
|
Text Classification (Q)
|
32% |
12
158.7 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
43% |
66
3.85 IPS |
