Google Pixel 7 Pro
Geekbench AI Score
360
Single Precision Score
2773
Half Precision Score
5842
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | November 23 2024 03:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (HP)
|
100% |
5485
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
8357
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
5630
91.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9377
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20808
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37876
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
4656
369.3 IPS |
|
|
Object Detection (Q)
|
87% |
6626
531.5 IPS |
|
|
Face Detection (SP)
|
100% |
523
6.22 IPS |
|
|
Face Detection (HP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (Q)
|
97% |
30985
369.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
460
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
22633
174.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
33216
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
748
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
746
0.96 IPS |
|
|
Style Transfer (Q)
|
28% |
215
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6218
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13355
494.9 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.5 IPS |
|
|
Text Classification (HP)
|
100% |
332
442.7 IPS |
|
|
Text Classification (Q)
|
92% |
2424
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.05 IPS |
