OnePlus PJX110
Geekbench AI Score
1596
Single Precision Score
2335
Half Precision Score
1745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | KokomiCat |
| Upload Date | November 03 2025 01:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJX110 |
| Model ID | OnePlus PJX110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
181.0 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
100% |
1210
225.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3401
55.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2228
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9907
11.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
17791
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15969
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
99% |
1161
92.1 IPS |
|
|
Object Detection (Q)
|
87% |
1106
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (Q)
|
97% |
2966
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7261
56.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5583
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12258
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24110
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22844
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2197
81.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2955
109.5 IPS |
|
|
Text Classification (SP)
|
35% |
33
318.1 IPS |
|
|
Text Classification (HP)
|
35% |
37
337.7 IPS |
|
|
Text Classification (Q)
|
33% |
26
315.4 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.50 IPS |
|
|
Machine Translation (HP)
|
97% |
641
11.1 IPS |
|
|
Machine Translation (Q)
|
43% |
190
10.8 IPS |
