OnePlus 7T
Geekbench AI Score
294
Single Precision Score
292
Half Precision Score
600
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | March 31 2025 01:39 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 HD1903 |
| 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% |
153
28.5 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (Q)
|
100% |
484
90.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
468
7.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
606
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
621
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
1078
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
83% |
456
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (HP)
|
100% |
354
4.21 IPS |
|
|
Face Detection (Q)
|
95% |
818
9.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
496
3.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
1010
9.25 IPS |
|
|
Style Transfer (SP)
|
89% |
1081
1.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1112
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2385
3.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.4 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.3 IPS |
|
|
Text Classification (Q)
|
88% |
268
360.8 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (Q)
|
50% |
172
6.11 IPS |
