OnePlus CPH2719
Geekbench AI Score
967
Single Precision Score
1307
Half Precision Score
1018
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 06:43 PM |
| Views | 1 |
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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
772
143.5 IPS |
|
|
Image Classification (Q)
|
97% |
605
112.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2062
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6717
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10778
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (HP)
|
99% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
83% |
532
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2653
31.5 IPS |
|
|
Face Detection (Q)
|
96% |
2225
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2807
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3519
27.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
3455
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10101
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18105
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
15595
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1165
43.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1404
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1448
53.7 IPS |
|
|
Text Classification (SP)
|
35% |
14
124.5 IPS |
|
|
Text Classification (HP)
|
29% |
11
182.6 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.4 IPS |
|
|
Machine Translation (SP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.52 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.11 IPS |
