Google Pixel 7
Geekbench AI Score
705
Single Precision Score
1094
Half Precision Score
851
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:58 AM |
| 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% |
263
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
97% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1421
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4519
5.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
9061
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8742
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
83% |
466
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
1662
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (Q)
|
96% |
2206
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2271
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3517
27.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2839
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6434
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
15475
19.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15723
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
35% |
10
93.4 IPS |
|
|
Text Classification (HP)
|
35% |
15
135.9 IPS |
|
|
Text Classification (Q)
|
32% |
10
128.0 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.30 IPS |
