Google Pixel 6 Pro
Geekbench AI Score
359
Single Precision Score
463
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 05:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 6 Pro |
| Model ID | Google Pixel 6 Pro |
| Motherboard | raven |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.25 GHz |
| Cluster 3 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
99% |
497
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
405
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
338
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (Q)
|
83% |
335
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1237
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
517
3.98 IPS |
|
|
Depth Estimation (Q)
|
62% |
406
3.85 IPS |
|
|
Style Transfer (SP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
991
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
180
6.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
222
8.23 IPS |
|
|
Text Classification (SP)
|
100% |
136
181.5 IPS |
|
|
Text Classification (HP)
|
100% |
130
174.0 IPS |
|
|
Text Classification (Q)
|
91% |
304
408.6 IPS |
|
|
Machine Translation (SP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (HP)
|
100% |
220
3.78 IPS |
|
|
Machine Translation (Q)
|
57% |
150
3.66 IPS |
