Google Pixel 7
Geekbench AI Score
335
Single Precision Score
2639
Half Precision Score
5777
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 18 2024 02:51 PM |
| Views | 3 |
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
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
5414
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8737
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
5333
86.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9441
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20777
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37787
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
4634
367.5 IPS |
|
|
Object Detection (Q)
|
87% |
6549
525.4 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (Q)
|
97% |
31027
369.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
420
3.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
22332
172.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33048
304.2 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
671
0.86 IPS |
|
|
Style Transfer (Q)
|
28% |
203
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6099
225.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13588
503.5 IPS |
|
|
Text Classification (SP)
|
100% |
301
402.2 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.0 IPS |
|
|
Text Classification (Q)
|
92% |
2409
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.27 IPS |
