Google Pixel 8a
Geekbench AI Score
1917
Single Precision Score
1881
Half Precision Score
3069
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:37 AM |
| Views | 2 |
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% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
1459
271.4 IPS |
|
|
Image Classification (Q)
|
100% |
2411
448.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2897
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2801
3.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
6489
7.70 IPS |
|
|
Object Detection (SP)
|
98% |
1401
111.5 IPS |
|
|
Object Detection (HP)
|
98% |
1291
102.7 IPS |
|
|
Object Detection (Q)
|
83% |
2105
170.1 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (Q)
|
95% |
5213
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2915
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2895
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5224
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6810
8.84 IPS |
|
|
Style Transfer (HP)
|
89% |
6797
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
13595
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3715
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.5 IPS |
|
|
Text Classification (HP)
|
99% |
698
931.4 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
582
20.7 IPS |
