Google Pixel 8a
Geekbench AI Score
335
Single Precision Score
3846
Half Precision Score
6950
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 04 2025 12:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
243
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.8 IPS |
|
|
Image Classification (Q)
|
99% |
6102
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
6977
113.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15480
251.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
30802
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62230
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (Q)
|
87% |
5033
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (HP)
|
100% |
11894
141.3 IPS |
|
|
Face Detection (Q)
|
97% |
23967
285.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
27574
212.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
31525
290.2 IPS |
|
|
Style Transfer (SP)
|
100% |
614
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
72% |
3010
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7791
287.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14547
539.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.1 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.6 IPS |
|
|
Text Classification (Q)
|
92% |
840
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
