Google Pixel 8
Geekbench AI Score
349
Single Precision Score
3740
Half Precision Score
6470
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mkacer |
| Upload Date | July 03 2025 04:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (HP)
|
100% |
3947
734.0 IPS |
|
|
Image Classification (Q)
|
99% |
4766
889.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
6824
110.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14296
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30480
35.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
61018
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
3751
297.5 IPS |
|
|
Object Detection (Q)
|
87% |
4659
373.7 IPS |
|
|
Face Detection (SP)
|
100% |
508
6.03 IPS |
|
|
Face Detection (HP)
|
100% |
16223
192.8 IPS |
|
|
Face Detection (Q)
|
97% |
28169
335.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
25848
199.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
29493
271.5 IPS |
|
|
Style Transfer (SP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
72% |
2378
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.05 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7375
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13803
511.5 IPS |
|
|
Text Classification (SP)
|
100% |
192
256.5 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.3 IPS |
|
|
Text Classification (Q)
|
92% |
837
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.11 IPS |
