Google Pixel 8
Geekbench AI Score
296
Single Precision Score
3629
Half Precision Score
4574
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
205
38.0 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.4 IPS |
|
|
Image Classification (Q)
|
99% |
5420
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
5531
89.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13280
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
24305
28.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47964
56.2 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
3544
281.1 IPS |
|
|
Object Detection (Q)
|
87% |
5090
408.3 IPS |
|
|
Face Detection (SP)
|
100% |
432
5.13 IPS |
|
|
Face Detection (HP)
|
100% |
13787
163.8 IPS |
|
|
Face Detection (Q)
|
97% |
25355
302.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
25579
197.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
28543
262.8 IPS |
|
|
Style Transfer (SP)
|
100% |
563
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
716
0.92 IPS |
|
|
Style Transfer (Q)
|
27% |
113
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
131
4.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6575
242.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11072
410.3 IPS |
|
|
Text Classification (SP)
|
100% |
342
456.9 IPS |
|
|
Text Classification (HP)
|
100% |
349
465.8 IPS |
|
|
Text Classification (Q)
|
92% |
852
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (HP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (Q)
|
57% |
296
7.23 IPS |
