Google Pixel 8
Geekbench AI Score
384
Single Precision Score
4364
Half Precision Score
5541
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 08:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| 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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
4439
825.5 IPS |
|
|
Image Classification (Q)
|
99% |
4678
872.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
8717
141.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21100
343.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31003
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
61721
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
5013
397.6 IPS |
|
|
Object Detection (Q)
|
90% |
5123
409.6 IPS |
|
|
Face Detection (SP)
|
100% |
596
7.08 IPS |
|
|
Face Detection (HP)
|
100% |
14994
178.2 IPS |
|
|
Face Detection (Q)
|
97% |
31534
376.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
32776
252.5 IPS |
|
|
Depth Estimation (Q)
|
70% |
36286
305.7 IPS |
|
|
Style Transfer (SP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
708
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
192
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8691
320.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15262
565.5 IPS |
|
|
Text Classification (SP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (Q)
|
92% |
842
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.57 IPS |
