Google Pixel 7 Pro
Geekbench AI Score
342
Single Precision Score
2674
Half Precision Score
5801
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 15 2024 08:51 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
5709
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
8637
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
5574
90.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9527
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
379
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20773
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37648
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
4463
354.0 IPS |
|
|
Object Detection (Q)
|
87% |
6289
504.5 IPS |
|
|
Face Detection (SP)
|
100% |
499
5.92 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.92 IPS |
|
|
Face Detection (Q)
|
97% |
30085
358.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
22130
170.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
32876
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (HP)
|
100% |
682
0.88 IPS |
|
|
Style Transfer (Q)
|
28% |
208
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6135
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13862
513.7 IPS |
|
|
Text Classification (SP)
|
100% |
294
392.8 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (Q)
|
92% |
2476
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
57% |
314
7.66 IPS |
