Google Pixel 8a
Geekbench AI Score
1489
Single Precision Score
1505
Half Precision Score
2219
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | seguraf17 |
| Upload Date | May 18 2025 08:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (Q)
|
100% |
1609
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2704
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2572
3.00 IPS |
|
|
Pose Estimation (Q)
|
84% |
5683
6.74 IPS |
|
|
Object Detection (SP)
|
98% |
1064
84.7 IPS |
|
|
Object Detection (HP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1547
125.0 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3384
40.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2076
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3088
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5005
6.50 IPS |
|
|
Style Transfer (HP)
|
89% |
4998
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9457
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2243
83.1 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.1 IPS |
|
|
Text Classification (HP)
|
99% |
448
597.9 IPS |
|
|
Text Classification (Q)
|
88% |
737
994.5 IPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
