OnePlus 5T
Geekbench AI Score
167
Single Precision Score
295
Half Precision Score
283
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 835 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 5T |
| Model ID | OnePlus ONEPLUS A5010 |
| Motherboard | msm8998 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.46 GHz |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
97% |
254
47.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
164
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
427
0.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
401
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.07 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
89% |
172
13.7 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
660
7.85 IPS |
|
|
Face Detection (Q)
|
97% |
607
7.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
239
1.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
530
4.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
425
4.03 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1245
1.60 IPS |
|
|
Style Transfer (Q)
|
98% |
1235
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
99
3.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
260
9.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
253
9.38 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.7 IPS |
|
|
Text Classification (HP)
|
100% |
71
94.7 IPS |
|
|
Text Classification (Q)
|
91% |
93
125.4 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
100% |
127
2.18 IPS |
|
|
Machine Translation (Q)
|
57% |
90
2.19 IPS |
