Google Pixel 7 Pro
Geekbench AI Score
226
Single Precision Score
2166
Half Precision Score
6685
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 06 2025 09:09 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
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5536
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8600
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5724
92.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9637
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20940
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38093
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
3994
316.8 IPS |
|
|
Object Detection (Q)
|
87% |
5845
468.9 IPS |
|
|
Face Detection (SP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.26 IPS |
|
|
Face Detection (Q)
|
97% |
26317
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
18117
139.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
27586
253.9 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (Q)
|
58% |
1963
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11147
413.0 IPS |
|
|
Text Classification (SP)
|
100% |
186
248.2 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.3 IPS |
|
|
Text Classification (Q)
|
92% |
2271
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (Q)
|
57% |
268
6.54 IPS |
