Google Pixel 8a
Geekbench AI Score
359
Single Precision Score
4104
Half Precision Score
7640
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 06 2025 12:09 AM |
| Views | 2 |
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
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
7925
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
6149
99.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15773
256.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
30804
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61859
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
4393
348.4 IPS |
|
|
Object Detection (Q)
|
87% |
5481
439.7 IPS |
|
|
Face Detection (SP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (HP)
|
100% |
13278
157.8 IPS |
|
|
Face Detection (Q)
|
97% |
25313
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
472
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
28583
220.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
31289
288.0 IPS |
|
|
Style Transfer (SP)
|
100% |
587
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
582
0.75 IPS |
|
|
Style Transfer (Q)
|
72% |
2821
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8498
313.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13955
517.1 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.8 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.7 IPS |
|
|
Text Classification (Q)
|
92% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.81 IPS |
