Google Pixel 7
Geekbench AI Score
712
Single Precision Score
1036
Half Precision Score
834
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:33 PM |
| Views | 17 |
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% |
274
50.9 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
97% |
267
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1493
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4423
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9254
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9223
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
428
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
1707
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (Q)
|
96% |
2457
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3549
27.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2914
27.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6489
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
16034
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15548
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1180
43.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1211
44.9 IPS |
|
|
Text Classification (SP)
|
35% |
10
89.8 IPS |
|
|
Text Classification (HP)
|
35% |
14
124.4 IPS |
|
|
Text Classification (Q)
|
32% |
10
132.4 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.46 IPS |
