Google Pixel 7
Geekbench AI Score
203
Single Precision Score
1913
Half Precision Score
6046
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 02:59 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% |
144
26.7 IPS |
|
|
Image Classification (HP)
|
100% |
4685
871.2 IPS |
|
|
Image Classification (Q)
|
99% |
7384
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
4676
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7762
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16556
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30322
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (HP)
|
100% |
3783
300.1 IPS |
|
|
Object Detection (Q)
|
87% |
5454
437.5 IPS |
|
|
Face Detection (SP)
|
100% |
337
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
25711
306.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
17938
138.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
26765
246.4 IPS |
|
|
Style Transfer (SP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
58% |
1700
3.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
117
4.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11055
409.6 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.3 IPS |
|
|
Text Classification (HP)
|
100% |
159
212.6 IPS |
|
|
Text Classification (Q)
|
92% |
2122
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.14 IPS |
