Google Pixel 7
Geekbench AI Score
314
Single Precision Score
2342
Half Precision Score
5031
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
5621
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8739
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
5598
90.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9577
155.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
361
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
16669
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30052
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
3796
301.1 IPS |
|
|
Object Detection (Q)
|
87% |
5470
438.8 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.60 IPS |
|
|
Face Detection (Q)
|
97% |
26051
310.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
403
3.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
17817
137.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27139
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
605
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
606
0.78 IPS |
|
|
Style Transfer (Q)
|
28% |
179
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10874
402.9 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (HP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (Q)
|
92% |
2025
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.62 IPS |
