Google Pixel 8a
Geekbench AI Score
342
Single Precision Score
4041
Half Precision Score
7254
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:11 AM |
| Views | 3 |
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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
5887
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6767
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
7212
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15721
255.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30602
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
61934
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
4670
370.4 IPS |
|
|
Object Detection (Q)
|
87% |
5167
414.5 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
11936
141.8 IPS |
|
|
Face Detection (Q)
|
97% |
28170
335.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
28588
220.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
34267
315.4 IPS |
|
|
Style Transfer (SP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (Q)
|
72% |
2526
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8358
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13934
516.3 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.2 IPS |
|
|
Text Classification (HP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (Q)
|
92% |
1225
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.97 IPS |
