Google Pixel 7 Pro
Geekbench AI Score
206
Single Precision Score
2016
Half Precision Score
6269
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:48 AM |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
5654
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8891
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
5209
84.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9341
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
16586
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30280
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.56 IPS |
|
|
Object Detection (HP)
|
100% |
3917
310.7 IPS |
|
|
Object Detection (Q)
|
87% |
5568
446.6 IPS |
|
|
Face Detection (SP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
25687
306.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
17944
138.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27261
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
424
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
379
0.49 IPS |
|
|
Style Transfer (Q)
|
58% |
1548
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11109
411.7 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.0 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
92% |
2164
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
291
5.01 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
57% |
257
6.28 IPS |
