OnePlus 7 Pro
Geekbench AI Score
906
Single Precision Score
894
Half Precision Score
1652
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | KingRootwang |
| Upload Date | February 02 2025 08:12 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
100% |
1146
213.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1411
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2960
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
400
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
83% |
1141
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
95% |
2683
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1569
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2676
24.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3227
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3243
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
6641
8.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1584
58.7 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.1 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (Q)
|
88% |
838
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
439
15.6 IPS |
