Google Pixel 8 Pro
Geekbench AI Score
339
Single Precision Score
3481
Half Precision Score
5613
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 07:06 PM |
| Views | 4 |
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% |
264
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
3430
637.8 IPS |
|
|
Image Classification (Q)
|
99% |
4663
869.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
9270
150.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20142
327.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
399
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
31450
36.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
62060
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
100% |
4484
355.7 IPS |
|
|
Object Detection (Q)
|
90% |
6009
480.4 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
13659
162.3 IPS |
|
|
Face Detection (Q)
|
97% |
29384
350.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
428
3.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
29818
229.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
36978
311.5 IPS |
|
|
Style Transfer (SP)
|
100% |
590
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
574
0.74 IPS |
|
|
Style Transfer (Q)
|
27% |
158
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7384
272.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13754
509.7 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.1 IPS |
|
|
Text Classification (HP)
|
100% |
84
111.6 IPS |
|
|
Text Classification (Q)
|
92% |
1375
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.17 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
57% |
273
6.68 IPS |
