Google Pixel 7 Pro
Geekbench AI Score
352
Single Precision Score
308
Half Precision Score
575
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 01:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
100% |
288
53.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
688
0.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
948
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
461
37.3 IPS |
|
|
Face Detection (SP)
|
100% |
537
6.39 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
95% |
853
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
634
4.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
946
8.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1510
1.96 IPS |
|
|
Style Transfer (HP)
|
89% |
1410
1.83 IPS |
|
|
Style Transfer (Q)
|
98% |
2922
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.6 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.7 IPS |
|
|
Text Classification (Q)
|
88% |
318
428.7 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
50% |
192
6.83 IPS |
