Google Pixel 8 Pro
Geekbench AI Score
424
Single Precision Score
4180
Half Precision Score
6832
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | blakjak |
| Upload Date | September 01 2025 02:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
3807
708.0 IPS |
|
|
Image Classification (Q)
|
99% |
5511
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
7281
118.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13542
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
424
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
30234
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
61148
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
4074
323.1 IPS |
|
|
Object Detection (Q)
|
87% |
4583
367.6 IPS |
|
|
Face Detection (SP)
|
100% |
610
7.24 IPS |
|
|
Face Detection (HP)
|
100% |
12353
146.8 IPS |
|
|
Face Detection (Q)
|
97% |
24979
297.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
541
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
28431
219.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
31569
290.6 IPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (Q)
|
73% |
3081
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
288
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13572
502.9 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.5 IPS |
|
|
Text Classification (HP)
|
100% |
411
548.4 IPS |
|
|
Text Classification (Q)
|
92% |
837
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
57% |
384
9.40 IPS |
