Google Pixel 8a
Geekbench AI Score
910
Single Precision Score
1336
Half Precision Score
990
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 04 2026 11:59 PM |
| Views | 4 |
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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (Q)
|
97% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1704
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4921
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
12000
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11385
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
99% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
83% |
557
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (Q)
|
96% |
2320
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3261
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5556
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4378
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7491
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19254
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18380
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2003
74.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
129.6 IPS |
|
|
Text Classification (HP)
|
35% |
18
163.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.9 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.71 IPS |
