Google Pixel 7
Geekbench AI Score
712
Single Precision Score
1017
Half Precision Score
799
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2025 02:38 AM |
| Views | 2 |
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% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
97% |
271
50.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
986
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1235
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4472
5.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
9906
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9255
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
99% |
444
35.3 IPS |
|
|
Object Detection (Q)
|
83% |
415
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (Q)
|
96% |
2171
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2261
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3582
27.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
2754
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6364
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
14979
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13948
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1197
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1142
42.3 IPS |
|
|
Text Classification (SP)
|
35% |
12
106.3 IPS |
|
|
Text Classification (HP)
|
35% |
15
135.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
152.2 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.25 IPS |
