Google Pixel 8
Geekbench AI Score
1192
Single Precision Score
1046
Half Precision Score
1397
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | cort |
| Upload Date | August 15 2024 10:27 PM |
| Views | 9 |
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% |
1167
217.0 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.3 IPS |
|
|
Image Classification (Q)
|
100% |
1988
369.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2091
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1371
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3170
3.76 IPS |
|
|
Object Detection (SP)
|
98% |
681
54.2 IPS |
|
|
Object Detection (HP)
|
98% |
685
54.5 IPS |
|
|
Object Detection (Q)
|
87% |
854
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2235
26.6 IPS |
|
|
Face Detection (Q)
|
95% |
1825
21.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
3638
29.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4064
5.28 IPS |
|
|
Style Transfer (HP)
|
89% |
2414
3.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6328
8.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
735
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1206
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
325
434.1 IPS |
|
|
Text Classification (HP)
|
99% |
235
313.4 IPS |
|
|
Text Classification (Q)
|
88% |
424
571.6 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
312
11.1 IPS |
