Google Pixel 8a
Geekbench AI Score
331
Single Precision Score
4105
Half Precision Score
7460
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:33 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% |
210
39.0 IPS |
|
|
Image Classification (HP)
|
100% |
5395
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7139
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
7031
114.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15674
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
374
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30596
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61873
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4383
347.6 IPS |
|
|
Object Detection (Q)
|
87% |
6367
510.7 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
12633
150.1 IPS |
|
|
Face Detection (Q)
|
97% |
22418
267.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
419
3.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
29122
224.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33790
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
667
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
72% |
2981
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13836
512.7 IPS |
|
|
Text Classification (SP)
|
100% |
291
387.9 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.8 IPS |
|
|
Text Classification (Q)
|
92% |
1360
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.97 IPS |
