Google Pixel 6
Geekbench AI Score
185
Single Precision Score
1195
Half Precision Score
4457
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 05:34 PM |
| Views | 3 |
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 | 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% |
119
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
3509
652.6 IPS |
|
|
Image Classification (Q)
|
99% |
6315
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8221
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
181
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16252
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
40374
47.3 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.53 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.63 IPS |
|
|
Object Detection (Q)
|
87% |
348
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
8413
100.0 IPS |
|
|
Face Detection (Q)
|
97% |
15135
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
16998
131.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
22697
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
416
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2516
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
115
4.26 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11942
442.5 IPS |
|
|
Text Classification (SP)
|
100% |
166
222.0 IPS |
|
|
Text Classification (HP)
|
100% |
169
226.1 IPS |
|
|
Text Classification (Q)
|
92% |
1605
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.27 IPS |
