Google Pixel 8a
Geekbench AI Score
344
Single Precision Score
3974
Half Precision Score
7455
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:43 AM |
| Views | 4 |
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% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
5837
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
8248
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15588
253.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30607
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61992
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
4597
364.6 IPS |
|
|
Object Detection (Q)
|
87% |
5306
425.6 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
11081
131.7 IPS |
|
|
Face Detection (Q)
|
97% |
22874
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
27624
212.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33670
310.0 IPS |
|
|
Style Transfer (SP)
|
100% |
567
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2830
3.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8446
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14952
554.1 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.0 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.1 IPS |
|
|
Text Classification (Q)
|
92% |
1442
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.90 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
