Google Pixel 7 Pro
Geekbench AI Score
750
Single Precision Score
1094
Half Precision Score
798
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 12:26 AM |
| 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% |
254
47.3 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.8 IPS |
|
|
Image Classification (Q)
|
97% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4408
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9600
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9140
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
99% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
83% |
458
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
2307
27.4 IPS |
|
|
Face Detection (Q)
|
96% |
2038
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2248
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3518
27.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2743
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6323
8.13 IPS |
|
|
Style Transfer (HP)
|
100% |
15057
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14210
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1105
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1170
43.4 IPS |
|
|
Text Classification (SP)
|
35% |
13
116.6 IPS |
|
|
Text Classification (HP)
|
35% |
13
118.0 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.0 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.30 IPS |
