Google Pixel 8a
Geekbench AI Score
916
Single Precision Score
1309
Half Precision Score
1014
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:29 PM |
| Views | 6 |
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% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
97% |
339
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1773
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4924
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
12305
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11602
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
99% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
83% |
574
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
2032
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (Q)
|
96% |
2401
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3281
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5445
42.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4440
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7552
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
19761
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18245
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1955
72.4 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.4 IPS |
|
|
Text Classification (HP)
|
35% |
17
156.6 IPS |
|
|
Text Classification (Q)
|
32% |
12
158.9 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.69 IPS |
