Google Pixel 8 Pro
Geekbench AI Score
411
Single Precision Score
4865
Half Precision Score
6695
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:59 PM |
| Views | 2 |
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 | 11.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
281
52.2 IPS |
|
|
Image Classification (HP)
|
100% |
5060
941.0 IPS |
|
|
Image Classification (Q)
|
99% |
8077
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
9107
147.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23649
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
435
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
31357
36.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
64225
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
5396
428.0 IPS |
|
|
Object Detection (Q)
|
87% |
6919
555.0 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
19256
228.8 IPS |
|
|
Face Detection (Q)
|
97% |
38085
454.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
559
4.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
34560
266.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
39239
361.2 IPS |
|
|
Style Transfer (SP)
|
100% |
852
1.10 IPS |
|
|
Style Transfer (HP)
|
100% |
845
1.09 IPS |
|
|
Style Transfer (Q)
|
27% |
197
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9981
368.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
15995
592.7 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.8 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.3 IPS |
|
|
Text Classification (Q)
|
92% |
1242
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.93 IPS |
