OnePlus 7 Pro
Geekbench AI Score
640
Single Precision Score
930
Half Precision Score
844
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 05 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (Q)
|
99% |
640
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
827
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (HP)
|
99% |
5265
6.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
5136
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
85% |
480
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
1669
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1557
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1779
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3885
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
7064
9.08 IPS |
|
|
Style Transfer (Q)
|
98% |
6796
8.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
928
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
922
34.2 IPS |
|
|
Text Classification (SP)
|
35% |
25
245.2 IPS |
|
|
Text Classification (HP)
|
35% |
43
395.1 IPS |
|
|
Text Classification (Q)
|
35% |
43
388.1 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
97% |
225
3.89 IPS |
|
|
Machine Translation (Q)
|
64% |
177
3.64 IPS |
