Google Pixel 8
Geekbench AI Score
1103
Single Precision Score
1010
Half Precision Score
1920
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Kazenosensei |
| Upload Date | November 03 2024 08:31 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% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (Q)
|
100% |
2383
443.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2532
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2901
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1608
1.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4890
5.80 IPS |
|
|
Object Detection (SP)
|
98% |
478
38.0 IPS |
|
|
Object Detection (HP)
|
98% |
1104
87.8 IPS |
|
|
Object Detection (Q)
|
83% |
911
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
1048
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
1958
23.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
968
7.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
3251
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3756
4.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2741
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
9411
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.3 IPS |
|
|
Text Classification (HP)
|
99% |
453
604.9 IPS |
|
|
Text Classification (Q)
|
88% |
732
987.5 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
453
16.1 IPS |
