Google Pixel 7
Geekbench AI Score
330
Single Precision Score
2661
Half Precision Score
5850
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | lazcoder |
| Upload Date | August 17 2024 05:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
5486
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8526
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
5322
86.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9404
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
371
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
20859
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37806
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
4600
364.8 IPS |
|
|
Object Detection (Q)
|
90% |
6552
523.8 IPS |
|
|
Face Detection (SP)
|
100% |
476
5.65 IPS |
|
|
Face Detection (HP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (Q)
|
97% |
31000
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
22699
174.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
36173
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
679
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (Q)
|
28% |
202
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6452
238.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13770
510.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.3 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (Q)
|
92% |
2432
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
57% |
312
7.63 IPS |
