OnePlus 7 Pro
Geekbench AI Score
992
Single Precision Score
987
Half Precision Score
1854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:10 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 7 Pro |
| Model ID | OnePlus GM1911 |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
100% |
1391
258.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
1607
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2014
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3233
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
83% |
1291
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (Q)
|
95% |
3035
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1657
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1723
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2980
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3548
4.61 IPS |
|
|
Style Transfer (HP)
|
89% |
3565
4.63 IPS |
|
|
Style Transfer (Q)
|
98% |
7195
9.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1745
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
515
686.8 IPS |
|
|
Text Classification (HP)
|
100% |
521
694.9 IPS |
|
|
Text Classification (Q)
|
88% |
925
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
491
17.4 IPS |
