Google Pixel 6
Geekbench AI Score
272
Single Precision Score
1463
Half Precision Score
4710
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tommilostny |
| Upload Date | January 16 2025 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
3782
703.4 IPS |
|
|
Image Classification (Q)
|
99% |
6139
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8273
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16230
18.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
39766
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
474
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (HP)
|
100% |
8694
103.3 IPS |
|
|
Face Detection (Q)
|
97% |
16199
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
357
2.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
16730
128.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
23798
219.1 IPS |
|
|
Style Transfer (SP)
|
100% |
579
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
594
0.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2977
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11287
418.2 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.3 IPS |
|
|
Text Classification (HP)
|
100% |
248
330.7 IPS |
|
|
Text Classification (Q)
|
92% |
1545
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.62 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
