Google Pixel 6
Geekbench AI Score
851
Single Precision Score
1197
Half Precision Score
976
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
366
68.0 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
97% |
534
99.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1670
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
10189
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9732
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.6 IPS |
|
|
Object Detection (Q)
|
83% |
457
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
1800
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (Q)
|
96% |
2239
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2959
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4408
34.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
3827
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9680
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19209
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18781
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1988
73.7 IPS |
|
|
Text Classification (SP)
|
35% |
17
150.1 IPS |
|
|
Text Classification (HP)
|
29% |
13
217.8 IPS |
|
|
Text Classification (Q)
|
29% |
10
180.3 IPS |
|
|
Machine Translation (SP)
|
100% |
224
3.85 IPS |
|
|
Machine Translation (HP)
|
100% |
232
4.00 IPS |
|
|
Machine Translation (Q)
|
43% |
62
3.60 IPS |
