Google Pixel 6 Pro
Geekbench AI Score
296
Single Precision Score
1505
Half Precision Score
4137
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 05:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
195
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
3884
722.4 IPS |
|
|
Image Classification (Q)
|
99% |
6308
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
3079
49.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1908
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
304
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16256
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
39683
46.5 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
87% |
507
40.6 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (HP)
|
100% |
8581
102.0 IPS |
|
|
Face Detection (Q)
|
97% |
16302
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
376
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
17165
132.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
24152
222.3 IPS |
|
|
Style Transfer (SP)
|
100% |
623
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3019
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
179
6.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11333
419.9 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.5 IPS |
|
|
Text Classification (HP)
|
100% |
263
351.5 IPS |
|
|
Text Classification (Q)
|
92% |
1586
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.93 IPS |
