Google Pixel 8
Geekbench AI Score
1982
Single Precision Score
1852
Half Precision Score
3141
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1556
289.4 IPS |
|
|
Image Classification (HP)
|
100% |
868
161.5 IPS |
|
|
Image Classification (Q)
|
100% |
2418
449.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2618
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
2884
3.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
6568
7.79 IPS |
|
|
Object Detection (SP)
|
98% |
1417
112.8 IPS |
|
|
Object Detection (HP)
|
98% |
1355
107.8 IPS |
|
|
Object Detection (Q)
|
83% |
2264
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (Q)
|
95% |
5194
62.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2787
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5213
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6835
8.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6832
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
13844
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3620
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
723
965.5 IPS |
|
|
Text Classification (HP)
|
99% |
691
922.0 IPS |
|
|
Text Classification (Q)
|
88% |
1184
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
50% |
620
22.0 IPS |
