Google Pixel 7
Geekbench AI Score
204
Single Precision Score
1957
Half Precision Score
6106
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:01 AM |
| 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% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
4724
878.6 IPS |
|
|
Image Classification (Q)
|
99% |
7346
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7745
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16625
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30369
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (Q)
|
87% |
5717
458.6 IPS |
|
|
Face Detection (SP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
26200
312.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
17921
138.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
27361
251.9 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
396
0.51 IPS |
|
|
Style Transfer (Q)
|
57% |
1665
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11112
411.7 IPS |
|
|
Text Classification (SP)
|
100% |
113
150.7 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.4 IPS |
|
|
Text Classification (Q)
|
92% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.40 IPS |
