Google Pixel 8 Pro
Geekbench AI Score
442
Single Precision Score
4616
Half Precision Score
5939
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Celeria |
| Upload Date | August 18 2024 11:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.6 IPS |
|
|
Image Classification (Q)
|
99% |
5375
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
7779
126.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17715
288.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
448
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
30991
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
63101
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
4314
342.2 IPS |
|
|
Object Detection (Q)
|
90% |
7101
567.7 IPS |
|
|
Face Detection (SP)
|
100% |
644
7.66 IPS |
|
|
Face Detection (HP)
|
100% |
17883
212.5 IPS |
|
|
Face Detection (Q)
|
97% |
24427
291.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
564
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
32941
253.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
36517
307.6 IPS |
|
|
Style Transfer (SP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
862
1.11 IPS |
|
|
Style Transfer (Q)
|
27% |
223
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
306
11.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9017
333.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
17422
645.6 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.1 IPS |
|
|
Text Classification (HP)
|
100% |
422
563.1 IPS |
|
|
Text Classification (Q)
|
92% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
398
9.73 IPS |
