Google Pixel 7 Pro
Geekbench AI Score
238
Single Precision Score
2367
Half Precision Score
7250
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andybeals |
| Upload Date | March 29 2025 01:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5734
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
8385
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5282
85.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9612
156.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
250
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20868
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38144
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
4656
369.3 IPS |
|
|
Object Detection (Q)
|
87% |
6592
528.8 IPS |
|
|
Face Detection (SP)
|
100% |
384
4.57 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (Q)
|
97% |
31188
371.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
297
2.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
22733
175.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33518
308.5 IPS |
|
|
Style Transfer (SP)
|
100% |
509
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
517
0.66 IPS |
|
|
Style Transfer (Q)
|
58% |
2058
3.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6301
232.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13590
503.6 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.8 IPS |
|
|
Text Classification (Q)
|
92% |
2337
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
