Google Pixel 8a
Geekbench AI Score
329
Single Precision Score
3780
Half Precision Score
6459
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 08:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
4407
819.6 IPS |
|
|
Image Classification (Q)
|
99% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
7212
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14548
236.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29900
34.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61016
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
3662
290.5 IPS |
|
|
Object Detection (Q)
|
87% |
4510
361.7 IPS |
|
|
Face Detection (SP)
|
100% |
429
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (Q)
|
97% |
25050
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
413
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
25641
197.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
29857
274.9 IPS |
|
|
Style Transfer (SP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
73% |
2368
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7675
283.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12107
448.6 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.2 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.8 IPS |
|
|
Text Classification (Q)
|
92% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.94 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.33 IPS |
