Google Pixel 8a
Geekbench AI Score
372
Single Precision Score
3788
Half Precision Score
4616
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 11:03 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
3154
586.6 IPS |
|
|
Image Classification (Q)
|
99% |
4751
886.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
8250
133.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12806
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
340
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
23944
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
48309
56.6 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
3576
283.7 IPS |
|
|
Object Detection (Q)
|
87% |
4575
367.0 IPS |
|
|
Face Detection (SP)
|
100% |
533
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
12291
146.0 IPS |
|
|
Face Detection (Q)
|
97% |
23628
281.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
479
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
23697
182.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
27221
250.6 IPS |
|
|
Style Transfer (SP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
720
0.93 IPS |
|
|
Style Transfer (Q)
|
27% |
174
3.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6626
244.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11304
418.9 IPS |
|
|
Text Classification (SP)
|
100% |
374
498.8 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.1 IPS |
|
|
Text Classification (Q)
|
92% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
57% |
332
8.12 IPS |
