Google Pixel 8 Pro
Geekbench AI Score
413
Single Precision Score
4143
Half Precision Score
5283
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 03:12 PM |
| Views | 1 |
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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
99% |
4628
863.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
7288
118.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14624
237.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
428
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30746
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
61817
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
4202
333.3 IPS |
|
|
Object Detection (Q)
|
87% |
4931
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
13370
158.9 IPS |
|
|
Face Detection (Q)
|
97% |
27277
325.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
28451
219.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33391
307.4 IPS |
|
|
Style Transfer (SP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
764
0.98 IPS |
|
|
Style Transfer (Q)
|
27% |
204
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7812
288.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13075
484.5 IPS |
|
|
Text Classification (SP)
|
100% |
377
503.3 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.8 IPS |
|
|
Text Classification (Q)
|
92% |
930
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
57% |
364
8.89 IPS |
