Google Pixel 8a
Geekbench AI Score
330
Single Precision Score
4083
Half Precision Score
7388
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 22 2025 02:17 AM |
| Views | 5 |
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
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
5576
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6126
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7315
118.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17234
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30059
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62917
73.7 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4652
369.0 IPS |
|
|
Object Detection (Q)
|
87% |
5237
420.1 IPS |
|
|
Face Detection (SP)
|
100% |
412
4.89 IPS |
|
|
Face Detection (HP)
|
100% |
12479
148.3 IPS |
|
|
Face Detection (Q)
|
97% |
26749
318.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
29620
228.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
34398
316.6 IPS |
|
|
Style Transfer (SP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
581
0.75 IPS |
|
|
Style Transfer (Q)
|
73% |
2983
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9297
343.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13965
517.5 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.2 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.5 IPS |
|
|
Text Classification (Q)
|
92% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
450
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.69 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.37 IPS |
