OnePlus CPH2717
Geekbench AI Score
1174
Single Precision Score
1182
Half Precision Score
1994
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2717 |
| Model ID | OnePlus CPH2717 |
| 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% |
810
150.6 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
100% |
1451
269.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1579
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1758
2.05 IPS |
|
|
Pose Estimation (Q)
|
84% |
4265
5.06 IPS |
|
|
Object Detection (SP)
|
98% |
810
64.5 IPS |
|
|
Object Detection (HP)
|
98% |
856
68.2 IPS |
|
|
Object Detection (Q)
|
83% |
1344
108.6 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1784
21.2 IPS |
|
|
Face Detection (Q)
|
95% |
3113
37.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1648
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3307
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4470
5.80 IPS |
|
|
Style Transfer (HP)
|
89% |
4492
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
9011
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2175
80.6 IPS |
|
|
Text Classification (SP)
|
100% |
443
591.5 IPS |
|
|
Text Classification (HP)
|
99% |
442
589.7 IPS |
|
|
Text Classification (Q)
|
88% |
820
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
459
16.3 IPS |
