Google Pixel 7 Pro
Geekbench AI Score
248
Single Precision Score
2434
Half Precision Score
7459
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
151
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5661
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8894
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
5479
88.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9548
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
251
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20930
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38070
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
4747
376.5 IPS |
|
|
Object Detection (Q)
|
87% |
6791
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
31132
371.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
322
2.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
22789
175.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
33744
310.6 IPS |
|
|
Style Transfer (SP)
|
100% |
546
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (Q)
|
58% |
2211
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6283
232.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13826
512.3 IPS |
|
|
Text Classification (SP)
|
100% |
216
287.9 IPS |
|
|
Text Classification (HP)
|
100% |
216
288.4 IPS |
|
|
Text Classification (Q)
|
92% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.02 IPS |
|
|
Machine Translation (Q)
|
57% |
299
7.31 IPS |
