Google Pixel 8a
Geekbench AI Score
314
Single Precision Score
3820
Half Precision Score
7778
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 05:53 PM |
| 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% |
235
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
5633
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8625
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
6302
102.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15319
249.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
355
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
30511
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62280
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4442
352.4 IPS |
|
|
Object Detection (Q)
|
87% |
6780
543.9 IPS |
|
|
Face Detection (SP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
15091
179.3 IPS |
|
|
Face Detection (Q)
|
97% |
24158
288.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
28822
222.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
34999
322.2 IPS |
|
|
Style Transfer (SP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
580
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
2859
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14721
545.5 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.1 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (Q)
|
92% |
1429
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.98 IPS |
