Google Pixel 8a
Geekbench AI Score
308
Single Precision Score
3991
Half Precision Score
7586
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 02:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
4035
750.3 IPS |
|
|
Image Classification (Q)
|
99% |
6043
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15606
253.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
30301
35.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
64464
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
4202
333.3 IPS |
|
|
Object Detection (Q)
|
87% |
5323
427.0 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
11892
141.3 IPS |
|
|
Face Detection (Q)
|
97% |
26638
317.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
397
3.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
32001
246.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
35049
322.6 IPS |
|
|
Style Transfer (SP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
569
0.73 IPS |
|
|
Style Transfer (Q)
|
72% |
2899
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8947
330.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16903
626.3 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.5 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.1 IPS |
|
|
Text Classification (Q)
|
92% |
1672
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.24 IPS |
