Google Pixel 7 Pro
Geekbench AI Score
1056
Single Precision Score
1026
Half Precision Score
1976
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | buhamad78 |
| Upload Date | August 17 2024 05:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.2 IPS |
|
|
Image Classification (Q)
|
100% |
1496
278.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3649
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
87% |
1410
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (Q)
|
95% |
3437
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1965
15.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
1923
14.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
3817
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3997
5.19 IPS |
|
|
Style Transfer (HP)
|
89% |
4002
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
8412
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1109
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1065
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (HP)
|
100% |
456
608.6 IPS |
|
|
Text Classification (Q)
|
88% |
826
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
