Google Pixel 8a
Geekbench AI Score
907
Single Precision Score
1344
Half Precision Score
1000
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:43 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% |
306
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
97% |
315
58.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
11942
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11699
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
83% |
556
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
96% |
2483
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3272
25.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5669
43.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4295
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7490
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19582
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18302
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2072
76.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.2 IPS |
|
|
Text Classification (HP)
|
35% |
18
163.6 IPS |
|
|
Text Classification (Q)
|
32% |
11
148.1 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
43% |
64
3.70 IPS |
