Google Pixel 7
Geekbench AI Score
722
Single Precision Score
1084
Half Precision Score
822
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 05:44 PM |
| Views | 4 |
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% |
268
49.8 IPS |
|
|
Image Classification (HP)
|
100% |
304
56.6 IPS |
|
|
Image Classification (Q)
|
97% |
259
48.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1384
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4377
5.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
9397
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9118
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (HP)
|
99% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
83% |
442
35.7 IPS |
|
|
Face Detection (SP)
|
100% |
1685
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (Q)
|
96% |
2181
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2315
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3605
27.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2978
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6446
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
15553
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14753
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1071
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1261
46.8 IPS |
|
|
Text Classification (SP)
|
35% |
11
102.3 IPS |
|
|
Text Classification (HP)
|
35% |
16
142.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
133.1 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
81
4.72 IPS |
