Google Pixel 8a
Geekbench AI Score
328
Single Precision Score
4023
Half Precision Score
7591
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:55 AM |
| Views | 6 |
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
43.5 IPS |
|
|
Image Classification (HP)
|
100% |
5676
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
7742
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
7176
116.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15679
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30017
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
62317
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4667
370.2 IPS |
|
|
Object Detection (Q)
|
87% |
5668
454.6 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
13660
162.3 IPS |
|
|
Face Detection (Q)
|
97% |
22224
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
387
2.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
28491
219.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
34870
321.0 IPS |
|
|
Style Transfer (SP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
599
0.77 IPS |
|
|
Style Transfer (Q)
|
72% |
2857
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8183
302.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13893
514.8 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.5 IPS |
|
|
Text Classification (HP)
|
100% |
266
354.9 IPS |
|
|
Text Classification (Q)
|
92% |
1679
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
