OnePlus 7 Pro
Geekbench AI Score
293
Single Precision Score
437
Half Precision Score
586
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | BulbousSum |
| Upload Date | December 14 2024 10:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 855 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 7 Pro |
| Model ID | OnePlus GM1911 |
| 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 | 5.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.6 IPS |
|
|
Image Classification (Q)
|
97% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
10529
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (Q)
|
85% |
1107
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
959
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (Q)
|
97% |
2996
35.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
313
2.41 IPS |
|
|
Depth Estimation (Q)
|
22% |
221
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
722
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
506
0.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2953
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3713
137.6 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.29 IPS |
|
|
Text Classification (HP)
|
100% |
212
282.8 IPS |
|
|
Text Classification (Q)
|
93% |
57
76.4 IPS |
|
|
Machine Translation (SP)
|
100% |
93
1.60 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
0
|
