Google Pixel 8a
Geekbench AI Score
372
Single Precision Score
4113
Half Precision Score
7142
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
5410
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
7635
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
6636
107.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14762
240.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
368
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30107
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
62190
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
100% |
3889
308.5 IPS |
|
|
Object Detection (Q)
|
87% |
5202
417.3 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
12667
150.5 IPS |
|
|
Face Detection (Q)
|
97% |
24689
294.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
27513
212.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
30962
285.0 IPS |
|
|
Style Transfer (SP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
715
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1792
2.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8152
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14811
548.8 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.0 IPS |
|
|
Text Classification (HP)
|
100% |
321
428.2 IPS |
|
|
Text Classification (Q)
|
92% |
1456
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.83 IPS |
