Google Pixel 7
Geekbench AI Score
681
Single Precision Score
1016
Half Precision Score
806
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | October 23 2025 02:15 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% |
249
46.2 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
97% |
284
53.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9711
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9364
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (Q)
|
96% |
2266
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2276
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3553
27.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2826
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6439
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
14988
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14380
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1070
39.6 IPS |
|
|
Text Classification (SP)
|
35% |
9
84.0 IPS |
|
|
Text Classification (HP)
|
35% |
15
137.2 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.0 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.32 IPS |
