Google Pixel 6 Pro
Geekbench AI Score
195
Single Precision Score
1296
Half Precision Score
4877
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | July 11 2025 03:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
4333
805.8 IPS |
|
|
Image Classification (Q)
|
99% |
7346
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9544
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
19324
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
47524
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.33 IPS |
|
|
Object Detection (Q)
|
87% |
343
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (HP)
|
100% |
10054
119.5 IPS |
|
|
Face Detection (Q)
|
97% |
18409
219.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
19726
152.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
27290
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
432
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
416
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2637
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
114
4.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11911
441.4 IPS |
|
|
Text Classification (SP)
|
100% |
165
219.6 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.7 IPS |
|
|
Text Classification (Q)
|
92% |
1678
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
57% |
252
6.17 IPS |
