Google Pixel 8a
Geekbench AI Score
531
Single Precision Score
614
Half Precision Score
589
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 12:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.4 IPS |
|
|
Image Classification (Q)
|
99% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1011
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
330
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
1307
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.58 IPS |
|
|
Depth Estimation (Q)
|
62% |
876
8.29 IPS |
|
|
Style Transfer (SP)
|
100% |
2469
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3261
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
3239
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
519
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.4 IPS |
|
|
Text Classification (Q)
|
91% |
247
331.5 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.95 IPS |
|
|
Machine Translation (HP)
|
100% |
214
3.69 IPS |
|
|
Machine Translation (Q)
|
57% |
142
3.47 IPS |
