Google Pixel 8a
Geekbench AI Score
1484
Single Precision Score
1569
Half Precision Score
2288
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
1145
212.9 IPS |
|
|
Image Classification (Q)
|
99% |
2319
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2545
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2528
2.95 IPS |
|
|
Pose Estimation (HP)
|
92% |
4026
4.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
4664
5.46 IPS |
|
|
Object Detection (SP)
|
98% |
1000
79.6 IPS |
|
|
Object Detection (HP)
|
97% |
735
58.5 IPS |
|
|
Object Detection (Q)
|
85% |
1371
110.4 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
3474
41.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2935
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3419
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
4983
6.47 IPS |
|
|
Style Transfer (HP)
|
88% |
4719
6.13 IPS |
|
|
Style Transfer (Q)
|
98% |
9512
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1578
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2466
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.6 IPS |
|
|
Text Classification (HP)
|
100% |
408
545.0 IPS |
|
|
Text Classification (Q)
|
93% |
679
912.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (HP)
|
96% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
55% |
551
14.8 IPS |
