Google Pixel 7 Pro
Geekbench AI Score
312
Single Precision Score
2528
Half Precision Score
5560
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | tuldok89 |
| Upload Date | August 16 2024 04:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
5564
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8633
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
5401
87.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9399
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
353
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
20854
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37901
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
4595
364.5 IPS |
|
|
Object Detection (Q)
|
90% |
6443
515.1 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
30527
364.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
381
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
22694
174.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
36332
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
642
0.83 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
28% |
192
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11095
411.1 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.1 IPS |
|
|
Text Classification (HP)
|
100% |
278
371.7 IPS |
|
|
Text Classification (Q)
|
92% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
429
7.39 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.21 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
