Google Pixel 8 Pro
Geekbench AI Score
958
Single Precision Score
918
Half Precision Score
1864
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | nwisecup |
| Upload Date | August 29 2024 11:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
100% |
2344
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2154
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1552
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1722
2.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
6751
8.01 IPS |
|
|
Object Detection (SP)
|
98% |
549
43.7 IPS |
|
|
Object Detection (HP)
|
98% |
756
60.2 IPS |
|
|
Object Detection (Q)
|
87% |
1378
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
1608
19.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1305
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
2831
23.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5315
6.90 IPS |
|
|
Style Transfer (HP)
|
89% |
2748
3.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9348
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1429
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.5 IPS |
|
|
Text Classification (HP)
|
99% |
484
645.7 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.0 IPS |
|
|
Machine Translation (SP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
