OnePlus 6
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Obi_Yoann |
| Upload Date | January 01 2025 09:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus 6 |
| Model ID | OnePlus ONEPLUS A6003 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
2.41 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.29 KIPS |
|
|
Image Classification (Q)
|
0% |
0
3.57 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15031
259.8 IPS |
|
|
Image Segmentation (HP)
|
73% |
15650
270.5 IPS |
|
|
Image Segmentation (Q)
|
73% |
37206
643.0 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
840.8 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
797.9 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.82 KIPS |
|
|
Object Detection (SP)
|
0% |
0
987.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
923.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
858.3 IPS |
|
|
Face Detection (SP)
|
0% |
0
328.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
328.9 IPS |
|
|
Face Detection (Q)
|
0% |
0
543.9 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
729.9 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
804.7 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
723.0 IPS |
|
|
Style Transfer (SP)
|
32% |
120784
1.51 KIPS |
|
|
Style Transfer (HP)
|
32% |
123865
1.55 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
3.56 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
250
2.95 KIPS |
|
|
Text Classification (SP)
|
29% |
445
7.68 KIPS |
|
|
Text Classification (HP)
|
29% |
369
6.38 KIPS |
|
|
Text Classification (Q)
|
29% |
357
6.16 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
6.55 IPS |
|
|
Machine Translation (HP)
|
0% |
0
6.15 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.95 IPS |
