OnePlus 7T Pro
Geekbench AI Score
312
Single Precision Score
307
Half Precision Score
466
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:29 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% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
100% |
309
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
959
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
83% |
292
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
514
6.11 IPS |
|
|
Face Detection (HP)
|
100% |
519
6.17 IPS |
|
|
Face Detection (Q)
|
95% |
854
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
495
3.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
606
4.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
786
7.20 IPS |
|
|
Style Transfer (SP)
|
89% |
1087
1.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1077
1.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2133
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
371
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
482
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.4 IPS |
|
|
Text Classification (HP)
|
100% |
100
133.9 IPS |
|
|
Text Classification (Q)
|
88% |
217
292.2 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.54 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.49 IPS |
|
|
Machine Translation (Q)
|
50% |
88
3.11 IPS |
