Google Pixel 8a
Geekbench AI Score
324
Single Precision Score
3688
Half Precision Score
6461
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:10 AM |
| Views | 6 |
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
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.9 IPS |
|
|
Image Classification (Q)
|
99% |
5098
950.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
6142
99.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13673
222.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
30445
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
60591
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
3755
297.9 IPS |
|
|
Object Detection (Q)
|
87% |
4427
355.1 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
13975
166.1 IPS |
|
|
Face Detection (Q)
|
97% |
26005
310.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
25853
199.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
30478
280.6 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
2976
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12847
476.0 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.9 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (Q)
|
92% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.95 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.38 IPS |
