OnePlus 7T Pro
Geekbench AI Score
769
Single Precision Score
1176
Half Precision Score
1079
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 17 2025 08:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 855+ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
99% |
778
145.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1288
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3391
3.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
5825
6.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
5601
6.56 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
99% |
666
52.8 IPS |
|
|
Object Detection (Q)
|
85% |
650
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
2212
26.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2637
20.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2177
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4110
5.28 IPS |
|
|
Style Transfer (HP)
|
100% |
7524
9.67 IPS |
|
|
Style Transfer (Q)
|
98% |
7443
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1213
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1197
44.4 IPS |
|
|
Text Classification (SP)
|
35% |
28
275.6 IPS |
|
|
Text Classification (HP)
|
35% |
43
387.9 IPS |
|
|
Text Classification (Q)
|
35% |
43
389.9 IPS |
|
|
Machine Translation (SP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (HP)
|
97% |
411
7.11 IPS |
|
|
Machine Translation (Q)
|
64% |
320
6.58 IPS |
