Google Pixel 8 Pro
Geekbench AI Score
643
Single Precision Score
780
Half Precision Score
723
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DhruvGupta12345 |
| Upload Date | October 22 2024 05:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
370
68.8 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (Q)
|
99% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
862
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
668
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (Q)
|
83% |
395
31.9 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (Q)
|
97% |
1519
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
939
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
1113
8.57 IPS |
|
|
Depth Estimation (Q)
|
62% |
892
8.44 IPS |
|
|
Style Transfer (SP)
|
100% |
2485
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
3246
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
3255
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
396
527.9 IPS |
|
|
Text Classification (HP)
|
100% |
389
519.1 IPS |
|
|
Text Classification (Q)
|
91% |
609
818.6 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
57% |
353
8.62 IPS |
