Google Pixel 8 Pro
Geekbench AI Score
376
Single Precision Score
4025
Half Precision Score
7040
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.4 IPS |
|
|
Image Classification (Q)
|
99% |
5647
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
7449
120.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15448
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
392
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30801
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62330
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
4156
329.6 IPS |
|
|
Object Detection (Q)
|
87% |
4838
388.1 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
13949
165.7 IPS |
|
|
Face Detection (Q)
|
97% |
31528
375.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
30186
232.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
33407
307.5 IPS |
|
|
Style Transfer (SP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
703
0.90 IPS |
|
|
Style Transfer (Q)
|
73% |
2856
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7896
291.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12909
478.4 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.3 IPS |
|
|
Text Classification (Q)
|
92% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
