Google Pixel 6
Geekbench AI Score
220
Single Precision Score
1371
Half Precision Score
5128
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 6 |
| Model ID | Google Pixel 6 |
| Motherboard | oriole |
| 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 | 7.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
144
26.8 IPS |
|
|
Image Classification (HP)
|
100% |
4270
794.0 IPS |
|
|
Image Classification (Q)
|
99% |
6892
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9620
156.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
19201
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
47301
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
87% |
408
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
9868
117.3 IPS |
|
|
Face Detection (Q)
|
97% |
18777
223.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
285
2.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
19640
151.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27865
256.5 IPS |
|
|
Style Transfer (SP)
|
100% |
479
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
461
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
2877
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
129
4.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13476
499.3 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.1 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (Q)
|
92% |
1725
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
