Google Pixel 6 Pro
Geekbench AI Score
293
Single Precision Score
1573
Half Precision Score
5110
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:26 AM |
| Views | 2 |
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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (HP)
|
100% |
4252
790.8 IPS |
|
|
Image Classification (Q)
|
99% |
6851
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9650
156.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
19187
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
46756
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
87% |
512
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
9809
116.5 IPS |
|
|
Face Detection (Q)
|
97% |
18924
225.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
19040
146.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27333
251.6 IPS |
|
|
Style Transfer (SP)
|
100% |
595
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
2956
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11288
418.3 IPS |
|
|
Text Classification (SP)
|
100% |
255
340.8 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.2 IPS |
|
|
Text Classification (Q)
|
92% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.10 IPS |
