Google Pixel 6
Geekbench AI Score
300
Single Precision Score
1622
Half Precision Score
4574
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.2 IPS |
|
|
Image Classification (Q)
|
99% |
7148
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2177
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
327
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
19252
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
47006
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
176
13.9 IPS |
|
|
Object Detection (Q)
|
87% |
513
41.2 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
10082
119.8 IPS |
|
|
Face Detection (Q)
|
97% |
18886
225.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
19227
148.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27324
251.5 IPS |
|
|
Style Transfer (SP)
|
100% |
628
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
616
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
3051
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
188
6.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13513
500.7 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.0 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.6 IPS |
|
|
Text Classification (Q)
|
92% |
1768
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
