OnePlus CPH2719
Geekbench AI Score
1894
Single Precision Score
1885
Half Precision Score
3195
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | allanburk |
| Upload Date | September 24 2025 09:44 PM |
| Views | 4 |
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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (Q)
|
100% |
1814
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2696
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
6606
7.84 IPS |
|
|
Object Detection (SP)
|
98% |
1357
108.0 IPS |
|
|
Object Detection (HP)
|
98% |
1385
110.2 IPS |
|
|
Object Detection (Q)
|
83% |
2245
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (Q)
|
95% |
5330
63.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2712
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2546
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5210
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6929
9.00 IPS |
|
|
Style Transfer (HP)
|
89% |
6789
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
14163
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1312
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3524
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
742
989.8 IPS |
|
|
Text Classification (HP)
|
99% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1405
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1495
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
786
27.9 IPS |
