Google Pixel 8a
Geekbench AI Score
326
Single Precision Score
4109
Half Precision Score
7365
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:53 AM |
| Views | 2 |
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% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
5658
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8563
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
7739
125.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14065
228.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30573
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61796
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4605
365.3 IPS |
|
|
Object Detection (Q)
|
87% |
5454
437.5 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
14166
168.3 IPS |
|
|
Face Detection (Q)
|
97% |
22479
268.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
28269
217.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
34264
315.4 IPS |
|
|
Style Transfer (SP)
|
100% |
690
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
589
0.76 IPS |
|
|
Style Transfer (Q)
|
73% |
2596
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14639
542.4 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.7 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.1 IPS |
|
|
Text Classification (Q)
|
92% |
1509
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
