Google Pixel 8
Geekbench AI Score
307
Single Precision Score
3782
Half Precision Score
5300
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.3 IPS |
|
|
Image Classification (Q)
|
99% |
5822
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
6721
109.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18294
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
29993
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61858
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (Q)
|
87% |
4678
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.20 IPS |
|
|
Face Detection (HP)
|
100% |
13770
163.6 IPS |
|
|
Face Detection (Q)
|
97% |
28421
338.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
27690
213.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
30311
279.0 IPS |
|
|
Style Transfer (SP)
|
100% |
630
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
615
0.79 IPS |
|
|
Style Transfer (Q)
|
27% |
154
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7859
290.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14285
529.3 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.5 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.0 IPS |
|
|
Text Classification (Q)
|
92% |
940
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
