Google Pixel 7 Pro
Geekbench AI Score
348
Single Precision Score
2681
Half Precision Score
7435
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
5517
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8448
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
5346
86.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9459
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20788
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37553
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
4680
371.2 IPS |
|
|
Object Detection (Q)
|
87% |
6603
529.7 IPS |
|
|
Face Detection (SP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (HP)
|
100% |
520
6.17 IPS |
|
|
Face Detection (Q)
|
97% |
31418
374.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
457
3.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
21937
169.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33001
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
730
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
58% |
2315
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
207
7.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6205
229.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13552
502.2 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.0 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.5 IPS |
|
|
Text Classification (Q)
|
92% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.94 IPS |
