Google Pixel 7
Geekbench AI Score
345
Single Precision Score
2686
Half Precision Score
7337
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 10 2024 09:11 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% |
5419
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8626
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
5325
86.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9269
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20860
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37765
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
4604
365.2 IPS |
|
|
Object Detection (Q)
|
87% |
6532
524.0 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
512
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
31107
370.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
22509
173.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
32723
301.2 IPS |
|
|
Style Transfer (SP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
727
0.93 IPS |
|
|
Style Transfer (Q)
|
58% |
2235
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6169
227.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13582
503.3 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.2 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.5 IPS |
|
|
Text Classification (Q)
|
92% |
2433
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (HP)
|
100% |
443
7.64 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.45 IPS |
