Google Pixel 7
Geekbench AI Score
725
Single Precision Score
1057
Half Precision Score
908
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | MADSDemid |
| Upload Date | July 17 2025 04:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.2 IPS |
|
|
Image Classification (Q)
|
97% |
377
70.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1418
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9724
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9683
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
492
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (Q)
|
96% |
2072
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2287
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3740
28.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2842
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6485
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
15743
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15343
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1152
42.7 IPS |
|
|
Text Classification (SP)
|
35% |
12
107.8 IPS |
|
|
Text Classification (HP)
|
35% |
13
122.6 IPS |
|
|
Text Classification (Q)
|
32% |
19
249.3 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.41 IPS |
