OnePlus 7 Pro
Geekbench AI Score
206
Single Precision Score
139
Half Precision Score
490
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 03:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus 7 Pro |
| Model ID | OnePlus GM1913 |
| 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% |
330
61.4 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
97% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
37
0.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1214
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2832
3.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
10375
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
29
2.31 IPS |
|
|
Object Detection (Q)
|
85% |
857
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
71
0.84 IPS |
|
|
Face Detection (Q)
|
97% |
2576
30.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
159
1.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
66
0.51 IPS |
|
|
Depth Estimation (Q)
|
22% |
207
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
202
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
119
0.15 IPS |
|
|
Style Transfer (Q)
|
98% |
965
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4080
151.2 IPS |
|
|
Text Classification (SP)
|
71% |
3
3.94 IPS |
|
|
Text Classification (HP)
|
100% |
51
67.9 IPS |
|
|
Text Classification (Q)
|
93% |
47
63.5 IPS |
|
|
Machine Translation (SP)
|
100% |
75
1.29 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
0
|
