OnePlus CPH2719
Geekbench AI Score
1043
Single Precision Score
4307
Half Precision Score
4327
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Neferzix |
| Upload Date | January 17 2026 06:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2719 |
| Model ID | OnePlus CPH2719 |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
3945
733.7 IPS |
|
|
Image Classification (Q)
|
99% |
7068
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1783
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17522
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72649
85.2 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
4090
324.4 IPS |
|
|
Object Detection (Q)
|
86% |
4830
388.5 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
10078
119.8 IPS |
|
|
Face Detection (Q)
|
97% |
10972
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
749
5.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
18757
144.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
30555
290.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2925
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
535
0.69 IPS |
|
|
Style Transfer (Q)
|
30% |
418
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10145
374.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6927
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
84
111.9 IPS |
|
|
Text Classification (HP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1546
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
60% |
347
7.81 IPS |
