OnePlus CPH2719
Geekbench AI Score
1667
Single Precision Score
1657
Half Precision Score
2790
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Neferzix |
| Upload Date | January 17 2026 06:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
100% |
2018
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2251
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2486
2.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
6106
7.24 IPS |
|
|
Object Detection (SP)
|
98% |
1224
97.4 IPS |
|
|
Object Detection (HP)
|
98% |
1184
94.2 IPS |
|
|
Object Detection (Q)
|
83% |
1969
159.1 IPS |
|
|
Face Detection (SP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2515
29.9 IPS |
|
|
Face Detection (Q)
|
95% |
4254
50.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2283
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4485
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6072
7.88 IPS |
|
|
Style Transfer (HP)
|
89% |
6081
7.89 IPS |
|
|
Style Transfer (Q)
|
98% |
12206
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2922
108.3 IPS |
|
|
Text Classification (SP)
|
100% |
606
808.2 IPS |
|
|
Text Classification (HP)
|
99% |
594
792.3 IPS |
|
|
Text Classification (Q)
|
88% |
1139
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
50% |
676
24.0 IPS |
