Google Pixel 7
Geekbench AI Score
232
Single Precision Score
2250
Half Precision Score
6981
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
151
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5412
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8750
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
5572
90.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9315
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20855
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37977
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
4673
370.6 IPS |
|
|
Object Detection (Q)
|
87% |
6531
523.9 IPS |
|
|
Face Detection (SP)
|
100% |
373
4.43 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
30550
364.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
21818
168.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33070
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
476
0.61 IPS |
|
|
Style Transfer (Q)
|
58% |
1965
3.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11059
409.8 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.5 IPS |
|
|
Text Classification (HP)
|
100% |
194
258.4 IPS |
|
|
Text Classification (Q)
|
92% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.92 IPS |
