Google Pixel 7
Geekbench AI Score
240
Single Precision Score
2350
Half Precision Score
7192
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 04:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
152
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5588
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8291
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
5389
87.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9448
153.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20830
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38102
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
4651
368.9 IPS |
|
|
Object Detection (Q)
|
87% |
6546
525.1 IPS |
|
|
Face Detection (SP)
|
100% |
395
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
97% |
31313
373.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
315
2.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
22240
171.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
33349
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (HP)
|
100% |
505
0.65 IPS |
|
|
Style Transfer (Q)
|
58% |
2069
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6187
228.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13416
497.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.4 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.2 IPS |
|
|
Text Classification (Q)
|
92% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
