Google Pixel 6
Geekbench AI Score
766
Single Precision Score
750
Half Precision Score
1370
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | May 18 2025 05:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| Governor | powersave |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (Q)
|
100% |
1069
198.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
1205
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1516
1.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
2207
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
83% |
932
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (Q)
|
95% |
2066
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1313
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1295
9.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
2069
19.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2337
3.03 IPS |
|
|
Style Transfer (HP)
|
89% |
2189
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4796
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1298
48.1 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.3 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.0 IPS |
|
|
Text Classification (Q)
|
88% |
743
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
445
15.8 IPS |
