Google Pixel 7
Geekbench AI Score
715
Single Precision Score
1024
Half Precision Score
809
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 01:48 AM |
| Views | 5 |
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% |
258
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (Q)
|
97% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4384
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
9034
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8957
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
448
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
421
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (Q)
|
96% |
2169
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2269
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3470
26.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2775
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6434
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
15072
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14401
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1251
46.4 IPS |
|
|
Text Classification (SP)
|
35% |
11
95.6 IPS |
|
|
Text Classification (HP)
|
35% |
14
129.9 IPS |
|
|
Text Classification (Q)
|
32% |
11
139.9 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.51 IPS |
