Google Pixel 8a
Geekbench AI Score
1269
Single Precision Score
1244
Half Precision Score
1899
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 23 2024 01:29 PM |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (Q)
|
100% |
2444
454.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2179
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2637
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
3652
4.33 IPS |
|
|
Object Detection (SP)
|
98% |
697
55.5 IPS |
|
|
Object Detection (HP)
|
98% |
696
55.3 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1593
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1492
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1515
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2306
21.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3655
4.75 IPS |
|
|
Style Transfer (HP)
|
89% |
3654
4.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6753
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2315
85.8 IPS |
|
|
Text Classification (SP)
|
100% |
435
581.2 IPS |
|
|
Text Classification (HP)
|
99% |
456
609.3 IPS |
|
|
Text Classification (Q)
|
88% |
743
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
962
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
