Google Pixel 8a
Geekbench AI Score
316
Single Precision Score
3685
Half Precision Score
6205
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 02:52 AM |
| Views | 4 |
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% |
235
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.8 IPS |
|
|
Image Classification (Q)
|
99% |
5339
995.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
7350
119.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13861
225.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30437
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
60540
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
186
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
3534
280.3 IPS |
|
|
Object Detection (Q)
|
87% |
4560
365.8 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
11938
141.9 IPS |
|
|
Face Detection (Q)
|
97% |
20959
249.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
25690
197.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
29905
275.3 IPS |
|
|
Style Transfer (SP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (Q)
|
73% |
2338
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7919
292.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12456
461.6 IPS |
|
|
Text Classification (SP)
|
100% |
266
354.7 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (Q)
|
92% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.37 IPS |
