Google Pixel 7
Geekbench AI Score
709
Single Precision Score
1058
Half Precision Score
837
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 06:35 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% |
268
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
97% |
300
56.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4463
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9269
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8960
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
99% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
83% |
495
40.0 IPS |
|
|
Face Detection (SP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (Q)
|
96% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2284
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3635
28.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
2749
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6529
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
16065
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14740
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1048
38.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1299
48.1 IPS |
|
|
Text Classification (SP)
|
35% |
10
91.7 IPS |
|
|
Text Classification (HP)
|
35% |
18
161.2 IPS |
|
|
Text Classification (Q)
|
32% |
10
135.0 IPS |
|
|
Machine Translation (SP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.39 IPS |
