Google Pixel 8a
Geekbench AI Score
329
Single Precision Score
3494
Half Precision Score
6231
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:41 PM |
| Views | 10 |
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
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
3464
644.1 IPS |
|
|
Image Classification (Q)
|
99% |
4301
802.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
6217
100.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14055
228.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30289
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61183
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
3703
293.8 IPS |
|
|
Object Detection (Q)
|
87% |
4475
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
10764
127.9 IPS |
|
|
Face Detection (Q)
|
97% |
24445
291.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
411
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
28396
218.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
31152
286.8 IPS |
|
|
Style Transfer (SP)
|
100% |
674
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2725
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7588
280.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12201
452.1 IPS |
|
|
Text Classification (SP)
|
100% |
270
359.8 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.2 IPS |
|
|
Text Classification (Q)
|
92% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.34 IPS |
