OnePlus 7 Pro
Geekbench AI Score
960
Single Precision Score
951
Half Precision Score
1781
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 22 2024 11:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.1 IPS |
|
|
Image Classification (Q)
|
100% |
1364
253.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1958
2.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
3127
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
83% |
1209
97.7 IPS |
|
|
Face Detection (SP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1391
16.5 IPS |
|
|
Face Detection (Q)
|
95% |
2897
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1600
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2835
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3417
4.44 IPS |
|
|
Style Transfer (HP)
|
89% |
3399
4.41 IPS |
|
|
Style Transfer (Q)
|
98% |
6829
8.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1657
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.9 IPS |
|
|
Text Classification (HP)
|
100% |
478
637.5 IPS |
|
|
Text Classification (Q)
|
88% |
919
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
