Google Pixel 8a
Geekbench AI Score
288
Single Precision Score
3954
Half Precision Score
7237
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 12:43 PM |
| 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% |
199
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
4870
905.7 IPS |
|
|
Image Classification (Q)
|
99% |
6072
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
7817
126.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14116
229.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
30294
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63263
74.1 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
4267
338.4 IPS |
|
|
Object Detection (Q)
|
87% |
6260
502.2 IPS |
|
|
Face Detection (SP)
|
100% |
427
5.07 IPS |
|
|
Face Detection (HP)
|
100% |
12084
143.6 IPS |
|
|
Face Detection (Q)
|
97% |
27862
332.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
28283
217.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34059
313.5 IPS |
|
|
Style Transfer (SP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (Q)
|
73% |
2343
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8359
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15167
562.0 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.2 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.5 IPS |
|
|
Text Classification (Q)
|
92% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
