Google Pixel 7
Geekbench AI Score
211
Single Precision Score
1980
Half Precision Score
6129
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 02:16 AM |
| Views | 9 |
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% |
4755
884.2 IPS |
|
|
Image Classification (Q)
|
99% |
7656
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
4790
77.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7830
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
220
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16587
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30420
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (Q)
|
87% |
5609
449.9 IPS |
|
|
Face Detection (SP)
|
100% |
354
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
337
4.01 IPS |
|
|
Face Detection (Q)
|
97% |
25957
309.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
268
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
18000
138.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
27416
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
441
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
58% |
1707
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11078
410.5 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.5 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (Q)
|
92% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
290
4.99 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
57% |
249
6.08 IPS |
