Google Pixel 6 Pro
Geekbench AI Score
487
Single Precision Score
616
Half Precision Score
620
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (Q)
|
97% |
408
76.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
436
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.7 IPS |
|
|
Object Detection (Q)
|
92% |
354
28.3 IPS |
|
|
Face Detection (SP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1808
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
520
4.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
596
4.59 IPS |
|
|
Depth Estimation (Q)
|
72% |
555
4.60 IPS |
|
|
Style Transfer (SP)
|
100% |
1386
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2554
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2456
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
374
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.8 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.6 IPS |
|
|
Text Classification (Q)
|
91% |
511
686.6 IPS |
|
|
Machine Translation (SP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
57% |
294
7.18 IPS |
