OnePlus 5T
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
8
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 835 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.46 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.33 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.54 KIPS |
|
|
Image Segmentation (SP)
|
73% |
14658
253.3 IPS |
|
|
Image Segmentation (HP)
|
73% |
14364
248.2 IPS |
|
|
Image Segmentation (Q)
|
73% |
30953
534.9 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
616.9 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
623.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.84 KIPS |
|
|
Object Detection (SP)
|
0% |
0
868.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
853.7 IPS |
|
|
Object Detection (Q)
|
0% |
0
728.8 IPS |
|
|
Face Detection (SP)
|
0% |
0
315.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
314.8 IPS |
|
|
Face Detection (Q)
|
0% |
0
463.0 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
598.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
605.4 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
592.2 IPS |
|
|
Style Transfer (SP)
|
32% |
105722
1.33 KIPS |
|
|
Style Transfer (HP)
|
32% |
106284
1.33 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.67 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
250
2.95 KIPS |
|
|
Text Classification (SP)
|
29% |
447
7.73 KIPS |
|
|
Text Classification (HP)
|
29% |
440
7.60 KIPS |
|
|
Text Classification (Q)
|
29% |
325
5.61 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.44 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.23 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.16 IPS |
