Google Pixel 8
Geekbench AI Score
362
Single Precision Score
3992
Half Precision Score
5200
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:49 PM |
| Views | 1 |
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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
3513
653.3 IPS |
|
|
Image Classification (Q)
|
99% |
4407
821.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
8757
142.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13472
219.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
29916
34.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62156
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
4138
328.3 IPS |
|
|
Object Detection (Q)
|
87% |
7149
573.5 IPS |
|
|
Face Detection (SP)
|
100% |
546
6.49 IPS |
|
|
Face Detection (HP)
|
100% |
13235
157.3 IPS |
|
|
Face Detection (Q)
|
97% |
27163
323.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
29172
224.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
32556
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
712
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
176
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7933
292.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13028
482.7 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.0 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
92% |
810
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
57% |
334
8.16 IPS |
