OnePlus 7T
Geekbench AI Score
909
Single Precision Score
908
Half Precision Score
1758
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 13 2024 11:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 855+ |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OnePlus 7T |
| Model ID | OnePlus HD1900 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
479
89.0 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
1302
242.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
522
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1883
2.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
3051
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
1166
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
2715
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1610
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2766
25.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3252
4.22 IPS |
|
|
Style Transfer (HP)
|
89% |
3257
4.23 IPS |
|
|
Style Transfer (Q)
|
98% |
6804
8.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1711
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.1 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.5 IPS |
|
|
Text Classification (Q)
|
88% |
929
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
499
17.7 IPS |
