OnePlus CPH2719
Geekbench AI Score
913
Single Precision Score
1159
Half Precision Score
948
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Neferzix |
| Upload Date | January 17 2026 06:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
464
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (Q)
|
97% |
610
113.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1570
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6556
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10911
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9837
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
99% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
83% |
483
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2096
24.9 IPS |
|
|
Face Detection (Q)
|
96% |
1982
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3288
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3494
27.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3304
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10130
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16206
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18007
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2099
77.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1367
50.7 IPS |
|
|
Text Classification (SP)
|
35% |
15
136.6 IPS |
|
|
Text Classification (HP)
|
29% |
8
144.2 IPS |
|
|
Text Classification (Q)
|
32% |
11
140.8 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.00 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.26 IPS |
