Google Pixel 7
Geekbench AI Score
722
Single Precision Score
1040
Half Precision Score
797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 10:08 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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
97% |
250
46.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1230
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4351
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
9597
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8962
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
99% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
453
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (Q)
|
96% |
2095
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2299
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3694
28.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2825
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6481
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14793
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14137
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1333
49.4 IPS |
|
|
Text Classification (SP)
|
35% |
12
106.3 IPS |
|
|
Text Classification (HP)
|
35% |
15
137.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
127.8 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.37 IPS |
