Google Pixel 7
Geekbench AI Score
747
Single Precision Score
1085
Half Precision Score
847
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 07:11 PM |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
97% |
319
59.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1265
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9020
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8895
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
99% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
83% |
621
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (Q)
|
96% |
2189
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2232
17.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3484
26.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2785
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6396
8.22 IPS |
|
|
Style Transfer (HP)
|
100% |
15703
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14251
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1227
45.5 IPS |
|
|
Text Classification (SP)
|
35% |
13
117.4 IPS |
|
|
Text Classification (HP)
|
35% |
14
129.5 IPS |
|
|
Text Classification (Q)
|
32% |
11
144.8 IPS |
|
|
Machine Translation (SP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.87 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.24 IPS |
