Google Pixel 7
Geekbench AI Score
709
Single Precision Score
1105
Half Precision Score
846
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:52 PM |
| Views | 4 |
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% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
97% |
302
56.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1529
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4434
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9794
11.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9344
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
99% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
83% |
446
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
2458
29.2 IPS |
|
|
Face Detection (Q)
|
96% |
2268
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2326
17.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3596
27.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2849
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6548
8.42 IPS |
|
|
Style Transfer (HP)
|
100% |
16065
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14591
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
35% |
11
99.9 IPS |
|
|
Text Classification (HP)
|
35% |
22
202.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
125.5 IPS |
|
|
Machine Translation (SP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (Q)
|
43% |
87
5.07 IPS |
