Google Pixel 8
Geekbench AI Score
552
Single Precision Score
605
Half Precision Score
591
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | sunjw8888 |
| Upload Date | August 16 2024 03:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
419
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
97% |
340
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
914
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
659
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
307
24.4 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.1 IPS |
|
|
Object Detection (Q)
|
92% |
336
26.8 IPS |
|
|
Face Detection (SP)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1194
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
960
7.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
1144
8.82 IPS |
|
|
Depth Estimation (Q)
|
72% |
1014
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
2522
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3220
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3211
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.6 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.7 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
57% |
145
3.54 IPS |
