OnePlus CPH2707
Geekbench AI Score
207
Single Precision Score
206
Half Precision Score
23380
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 23 2025 11:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2707 |
| Model ID | OnePlus CPH2707 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
97% |
20374
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
17028
276.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
211
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
114478
134.0 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.20 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.18 IPS |
|
|
Object Detection (Q)
|
86% |
10154
816.5 IPS |
|
|
Face Detection (SP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
52179
622.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.15 IPS |
|
|
Depth Estimation (Q)
|
63% |
50780
475.5 IPS |
|
|
Style Transfer (SP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (Q)
|
98% |
164397
212.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
134
4.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
35235
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
163
218.1 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (Q)
|
55% |
1444
37.8 IPS |
