OnePlus 7 Pro
Geekbench AI Score
463
Single Precision Score
472
Half Precision Score
1311
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.2 IPS |
|
|
Image Classification (Q)
|
97% |
1290
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1100
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
10647
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
85% |
1425
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (Q)
|
97% |
3251
38.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
513
3.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
306
2.36 IPS |
|
|
Depth Estimation (Q)
|
22% |
240
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
773
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
504
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
3913
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1674
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5096
188.8 IPS |
|
|
Text Classification (SP)
|
71% |
14
20.1 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.4 IPS |
|
|
Text Classification (Q)
|
93% |
162
217.9 IPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.80 IPS |
