Google Pixel 8 Pro
Geekbench AI Score
389
Single Precision Score
4565
Half Precision Score
6245
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | ronitroyri |
| Upload Date | September 04 2024 04:50 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% |
256
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
4845
901.0 IPS |
|
|
Image Classification (Q)
|
99% |
6443
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
8515
138.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20781
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30784
35.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63675
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
5437
431.3 IPS |
|
|
Object Detection (Q)
|
90% |
7994
639.1 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.67 IPS |
|
|
Face Detection (HP)
|
100% |
17631
209.5 IPS |
|
|
Face Detection (Q)
|
97% |
33382
398.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
491
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
27402
211.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
35956
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
743
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
754
0.97 IPS |
|
|
Style Transfer (Q)
|
27% |
208
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7763
286.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14918
552.8 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.1 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.1 IPS |
|
|
Text Classification (Q)
|
92% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
57% |
370
9.04 IPS |
