Google Pixel 6 Pro
Geekbench AI Score
224
Single Precision Score
1387
Half Precision Score
5143
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | March 06 2025 07:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
4353
809.5 IPS |
|
|
Image Classification (Q)
|
99% |
7265
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9735
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
226
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19339
22.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
47884
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
87% |
409
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (HP)
|
100% |
9882
117.4 IPS |
|
|
Face Detection (Q)
|
97% |
18981
226.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
19478
150.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27741
255.4 IPS |
|
|
Style Transfer (SP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2912
3.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13233
490.3 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.4 IPS |
|
|
Text Classification (Q)
|
92% |
1646
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
