Google Pixel 8a
Geekbench AI Score
1145
Single Precision Score
1162
Half Precision Score
1651
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 01:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (Q)
|
100% |
2331
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1496
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2353
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1956
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3355
3.98 IPS |
|
|
Object Detection (SP)
|
98% |
651
51.8 IPS |
|
|
Object Detection (HP)
|
98% |
758
60.3 IPS |
|
|
Object Detection (Q)
|
83% |
987
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1604
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
2381
28.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1562
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2360
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3632
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3707
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6755
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1706
63.2 IPS |
|
|
Text Classification (SP)
|
100% |
301
401.3 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.8 IPS |
|
|
Text Classification (Q)
|
88% |
431
580.8 IPS |
|
|
Machine Translation (SP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
