Google Pixel 7
Geekbench AI Score
724
Single Precision Score
1072
Half Precision Score
850
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 24 2025 11:48 AM |
| Views | 3 |
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% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
97% |
284
52.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1348
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4451
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9703
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9708
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.2 IPS |
|
|
Object Detection (HP)
|
99% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
83% |
459
37.0 IPS |
|
|
Face Detection (SP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (Q)
|
96% |
2264
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2358
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3540
27.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
3437
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6445
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
16232
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14549
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1130
41.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
35% |
12
110.9 IPS |
|
|
Text Classification (HP)
|
35% |
20
183.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.6 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
43% |
78
4.56 IPS |
