Google Pixel 7 Pro
Geekbench AI Score
226
Single Precision Score
2327
Half Precision Score
7197
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | level555 |
| Upload Date | April 21 2025 09:57 AM |
| Views | 1 |
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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
5553
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8420
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
184
2.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
5144
83.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9481
154.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
20890
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38036
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
4744
376.3 IPS |
|
|
Object Detection (Q)
|
87% |
6527
523.6 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
97% |
31177
371.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
22743
175.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33622
309.5 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
500
0.64 IPS |
|
|
Style Transfer (Q)
|
58% |
2018
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6215
229.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13522
501.0 IPS |
|
|
Text Classification (SP)
|
100% |
201
267.7 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.2 IPS |
|
|
Text Classification (Q)
|
92% |
2294
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
