Google Pixel 8a
Geekbench AI Score
321
Single Precision Score
3475
Half Precision Score
6429
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 27 2025 03:21 AM |
| Views | 18 |
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% |
236
43.8 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.6 IPS |
|
|
Image Classification (Q)
|
99% |
6054
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
7341
119.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15746
256.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30426
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
60532
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
3728
295.7 IPS |
|
|
Object Detection (Q)
|
87% |
4510
361.8 IPS |
|
|
Face Detection (SP)
|
100% |
431
5.12 IPS |
|
|
Face Detection (HP)
|
100% |
11860
140.9 IPS |
|
|
Face Detection (Q)
|
97% |
25009
298.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
418
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
26807
206.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
28515
262.5 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
593
0.76 IPS |
|
|
Style Transfer (Q)
|
74% |
2650
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12289
455.4 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.5 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
