Google Pixel 8
Geekbench AI Score
362
Single Precision Score
4221
Half Precision Score
5370
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | August 15 2024 08:34 PM |
| Views | 7 |
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% |
4202
781.4 IPS |
|
|
Image Classification (Q)
|
99% |
4559
850.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
7939
128.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20118
327.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30290
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61838
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
4369
346.6 IPS |
|
|
Object Detection (Q)
|
90% |
5128
410.0 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
13812
164.1 IPS |
|
|
Face Detection (Q)
|
97% |
27309
325.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
492
3.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
29890
230.3 IPS |
|
|
Depth Estimation (Q)
|
70% |
35176
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
712
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
706
0.91 IPS |
|
|
Style Transfer (Q)
|
27% |
192
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8870
327.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14394
533.4 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.8 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.8 IPS |
|
|
Text Classification (Q)
|
92% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.97 IPS |
