Google Pixel 8
Geekbench AI Score
1335
Single Precision Score
1310
Half Precision Score
1883
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:18 PM |
| Views | 1 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (Q)
|
100% |
2388
444.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2662
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
4471
5.30 IPS |
|
|
Object Detection (SP)
|
98% |
711
56.6 IPS |
|
|
Object Detection (HP)
|
98% |
732
58.3 IPS |
|
|
Object Detection (Q)
|
83% |
942
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
95% |
2345
28.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2001
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2101
16.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3089
28.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5113
6.64 IPS |
|
|
Style Transfer (HP)
|
89% |
5037
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
9448
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
349
466.2 IPS |
|
|
Text Classification (HP)
|
99% |
344
458.8 IPS |
|
|
Text Classification (Q)
|
88% |
499
672.3 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
