OnePlus PJE110
Geekbench AI Score
386
Single Precision Score
12055
Half Precision Score
28367
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 06:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJE110 |
| Model ID | OnePlus PJE110 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
13206
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32776
6.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
7838
127.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20324
330.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
462
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
72184
84.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
292171
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
11684
926.8 IPS |
|
|
Object Detection (Q)
|
86% |
13096
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
550
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
25740
305.8 IPS |
|
|
Face Detection (Q)
|
97% |
84873
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
42295
325.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
81949
767.3 IPS |
|
|
Style Transfer (SP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (HP)
|
24% |
2913
88.1 IPS |
|
|
Style Transfer (Q)
|
98% |
220152
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31793
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82589
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
316
421.6 IPS |
|
|
Text Classification (HP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (HP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (Q)
|
30% |
195
39.1 IPS |
