OnePlus 7T Pro
Geekbench AI Score
573
Single Precision Score
574
Half Precision Score
982
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 03:19 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 Pro |
| Model ID | OnePlus HD1911 |
| 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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
100% |
1101
204.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
504
8.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1361
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1779
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2850
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
83% |
1063
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2584
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1552
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1512
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
995
9.12 IPS |
|
|
Style Transfer (SP)
|
89% |
1103
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2458
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.2 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.0 IPS |
|
|
Text Classification (Q)
|
88% |
279
375.7 IPS |
|
|
Machine Translation (SP)
|
100% |
269
4.63 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
50% |
169
5.98 IPS |
