Google Pixel 7
Geekbench AI Score
728
Single Precision Score
1032
Half Precision Score
815
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 07:39 PM |
| Views | 6 |
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% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (Q)
|
97% |
288
53.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4415
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8913
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
99% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
1730
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (Q)
|
96% |
2069
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2316
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3555
27.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2868
27.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6433
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
16602
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14606
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1266
46.9 IPS |
|
|
Text Classification (SP)
|
35% |
12
110.6 IPS |
|
|
Text Classification (HP)
|
35% |
14
128.6 IPS |
|
|
Text Classification (Q)
|
32% |
10
129.4 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.35 IPS |
