Google Pixel 8a
Geekbench AI Score
921
Single Precision Score
1381
Half Precision Score
1046
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 01:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.1 IPS |
|
|
Image Classification (Q)
|
97% |
391
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1773
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4907
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
12058
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11780
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
99% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.3 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (Q)
|
96% |
2296
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3264
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5582
43.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4402
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7485
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19442
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18528
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2016
74.7 IPS |
|
|
Text Classification (SP)
|
35% |
16
145.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
186.4 IPS |
|
|
Text Classification (Q)
|
32% |
14
186.8 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.77 IPS |
