OnePlus 7T Pro
Geekbench AI Score
314
Single Precision Score
312
Half Precision Score
467
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855+ |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 7T Pro |
| Model ID | OnePlus HD1911 |
| 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 @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (Q)
|
100% |
341
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
791
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
777
0.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
938
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
297
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
518
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.14 IPS |
|
|
Face Detection (Q)
|
95% |
848
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
789
7.23 IPS |
|
|
Style Transfer (SP)
|
89% |
1077
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1078
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2067
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
455
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
105
139.5 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.8 IPS |
|
|
Text Classification (Q)
|
88% |
218
293.8 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.17 IPS |
