Google Pixel 7
Geekbench AI Score
338
Single Precision Score
2619
Half Precision Score
7278
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 07:34 PM |
| Views | 4 |
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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.2 IPS |
|
|
Image Classification (HP)
|
100% |
5413
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8301
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
5255
85.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9235
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
20746
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37681
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
4567
362.3 IPS |
|
|
Object Detection (Q)
|
87% |
6566
526.7 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.89 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
31118
371.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
436
3.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
22401
172.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
32626
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
713
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (Q)
|
58% |
2276
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13280
492.1 IPS |
|
|
Text Classification (SP)
|
100% |
291
387.8 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.6 IPS |
|
|
Text Classification (Q)
|
92% |
2406
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.28 IPS |
