Google Pixel 8a
Geekbench AI Score
297
Single Precision Score
3942
Half Precision Score
7383
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:42 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% |
174
32.3 IPS |
|
|
Image Classification (HP)
|
100% |
4420
821.9 IPS |
|
|
Image Classification (Q)
|
99% |
6701
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
7703
124.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14608
237.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
30688
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
63183
74.0 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
4433
351.6 IPS |
|
|
Object Detection (Q)
|
87% |
5700
457.2 IPS |
|
|
Face Detection (SP)
|
100% |
423
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
12504
148.6 IPS |
|
|
Face Detection (Q)
|
97% |
26204
312.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
28201
217.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
35957
331.0 IPS |
|
|
Style Transfer (SP)
|
100% |
573
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (Q)
|
72% |
2660
3.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7943
293.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14433
534.8 IPS |
|
|
Text Classification (SP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.7 IPS |
|
|
Text Classification (Q)
|
92% |
1458
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
57% |
259
6.33 IPS |
