Google Pixel 8 Pro
Geekbench AI Score
2093
Single Precision Score
2081
Half Precision Score
3363
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 08:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
1558
289.7 IPS |
|
|
Image Classification (Q)
|
100% |
2654
493.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2885
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3177
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
6995
8.30 IPS |
|
|
Object Detection (SP)
|
98% |
1564
124.5 IPS |
|
|
Object Detection (HP)
|
98% |
1573
125.2 IPS |
|
|
Object Detection (Q)
|
83% |
2452
198.1 IPS |
|
|
Face Detection (SP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
95% |
5317
63.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2901
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3027
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5625
51.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7250
9.41 IPS |
|
|
Style Transfer (HP)
|
89% |
7231
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
14742
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3804
141.0 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1200
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
702
24.9 IPS |
