Google Pixel 8a
Geekbench AI Score
896
Single Precision Score
1396
Half Precision Score
1052
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 16 2025 01:22 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% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (Q)
|
97% |
418
78.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1729
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4882
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
11981
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11679
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
96% |
2318
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3286
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5644
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4392
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7514
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19705
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18452
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2059
76.3 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.0 IPS |
|
|
Text Classification (HP)
|
35% |
21
192.7 IPS |
|
|
Text Classification (Q)
|
32% |
14
179.3 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
