Google Pixel 7
Geekbench AI Score
732
Single Precision Score
1076
Half Precision Score
827
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 10:49 PM |
| Views | 2 |
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% |
226
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.4 IPS |
|
|
Image Classification (Q)
|
97% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1503
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4543
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
9784
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9439
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
99% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
83% |
455
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (Q)
|
96% |
2155
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2328
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3659
28.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2790
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6639
8.54 IPS |
|
|
Style Transfer (HP)
|
100% |
15627
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14754
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1328
49.2 IPS |
|
|
Text Classification (SP)
|
35% |
12
109.9 IPS |
|
|
Text Classification (HP)
|
35% |
17
150.1 IPS |
|
|
Text Classification (Q)
|
32% |
10
127.1 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.71 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.28 IPS |
