Google Pixel 7 Pro
Geekbench AI Score
694
Single Precision Score
1043
Half Precision Score
814
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 08:27 PM |
| Views | 1 |
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% |
222
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1476
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9692
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9464
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
99% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
451
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (Q)
|
96% |
1911
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2366
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3607
27.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2940
27.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6284
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
16205
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15102
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1194
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1229
45.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
83.9 IPS |
|
|
Text Classification (HP)
|
35% |
14
131.0 IPS |
|
|
Text Classification (Q)
|
32% |
10
133.6 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
43% |
79
4.59 IPS |
