Google Pixel 8a
Geekbench AI Score
1332
Single Precision Score
1295
Half Precision Score
1932
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 02:26 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.4 IPS |
|
|
Image Classification (Q)
|
100% |
2464
458.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2362
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2550
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
3938
4.67 IPS |
|
|
Object Detection (SP)
|
98% |
700
55.7 IPS |
|
|
Object Detection (HP)
|
98% |
697
55.5 IPS |
|
|
Object Detection (Q)
|
83% |
992
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
2320
27.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1539
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1988
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3116
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5046
6.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5074
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
9720
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
996
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2302
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
455
606.8 IPS |
|
|
Text Classification (HP)
|
99% |
445
594.3 IPS |
|
|
Text Classification (Q)
|
88% |
644
869.0 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
307
10.9 IPS |
