Google Pixel 8a
Geekbench AI Score
350
Single Precision Score
4058
Half Precision Score
7633
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 02:41 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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
5304
986.5 IPS |
|
|
Image Classification (Q)
|
99% |
7793
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
6544
106.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14478
235.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30575
35.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
63551
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (Q)
|
87% |
5287
424.1 IPS |
|
|
Face Detection (SP)
|
100% |
477
5.67 IPS |
|
|
Face Detection (HP)
|
100% |
12220
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
26047
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
28001
215.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34973
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
588
0.76 IPS |
|
|
Style Transfer (Q)
|
72% |
2889
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8443
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13820
512.1 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.9 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.8 IPS |
|
|
Text Classification (Q)
|
92% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
