Google Pixel 7 Pro
Geekbench AI Score
715
Single Precision Score
1042
Half Precision Score
788
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Alan156 |
| Upload Date | October 25 2025 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
97% |
250
46.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1340
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4329
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
9395
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9308
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (HP)
|
99% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (Q)
|
96% |
2252
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2260
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3547
27.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2727
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6311
8.11 IPS |
|
|
Style Transfer (HP)
|
100% |
14776
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14883
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
35% |
12
105.3 IPS |
|
|
Text Classification (HP)
|
35% |
13
117.4 IPS |
|
|
Text Classification (Q)
|
32% |
9
121.7 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.28 IPS |
