Google Pixel 7
Geekbench AI Score
709
Single Precision Score
1035
Half Precision Score
822
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 02:45 AM |
| Views | 3 |
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% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
97% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1447
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4434
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9142
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8809
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
83% |
445
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (Q)
|
96% |
2165
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2289
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3836
29.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2860
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6461
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
15377
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15290
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1127
41.8 IPS |
|
|
Text Classification (SP)
|
35% |
11
97.5 IPS |
|
|
Text Classification (HP)
|
35% |
14
123.1 IPS |
|
|
Text Classification (Q)
|
32% |
11
139.0 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.31 IPS |
