Google Pixel 8a
Geekbench AI Score
294
Single Precision Score
3593
Half Precision Score
6797
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:54 PM |
| 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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
4822
896.7 IPS |
|
|
Image Classification (Q)
|
99% |
6982
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
7410
120.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16213
263.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
29976
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61035
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
4097
325.0 IPS |
|
|
Object Detection (Q)
|
87% |
5679
455.6 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
11018
130.9 IPS |
|
|
Face Detection (Q)
|
97% |
25580
305.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
364
2.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
26147
201.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
29550
272.0 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
565
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2399
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7949
293.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14263
528.5 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (HP)
|
100% |
165
219.6 IPS |
|
|
Text Classification (Q)
|
92% |
851
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.96 IPS |
