Google Pixel 7
Geekbench AI Score
227
Single Precision Score
2232
Half Precision Score
6961
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | September 16 2025 02:15 PM |
| Views | 5 |
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% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
5565
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8498
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
5216
84.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9258
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
20793
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37961
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
4692
372.2 IPS |
|
|
Object Detection (Q)
|
87% |
6569
526.9 IPS |
|
|
Face Detection (SP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
30712
366.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
22500
173.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33329
306.8 IPS |
|
|
Style Transfer (SP)
|
100% |
464
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
472
0.61 IPS |
|
|
Style Transfer (Q)
|
58% |
1955
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
136
5.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11025
408.5 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.3 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (Q)
|
92% |
2215
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
