OnePlus PKR110
Geekbench AI Score
1570
Single Precision Score
1768
Half Precision Score
2170
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 04:07 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PKR110 |
| Model ID | OnePlus PKR110 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
100% |
1407
261.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2106
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4233
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
11282
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
736
58.5 IPS |
|
|
Object Detection (HP)
|
98% |
817
65.0 IPS |
|
|
Object Detection (Q)
|
83% |
1336
107.9 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (Q)
|
95% |
3820
45.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3737
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4373
40.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4893
6.35 IPS |
|
|
Style Transfer (HP)
|
89% |
5057
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
10873
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1560
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2227
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
310
413.5 IPS |
|
|
Text Classification (HP)
|
99% |
295
393.2 IPS |
|
|
Text Classification (Q)
|
88% |
285
384.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
451
16.0 IPS |
