OnePlus CPH2467
Geekbench AI Score
543
Single Precision Score
541
Half Precision Score
1063
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 03:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2467 |
| Model ID | OnePlus CPH2467 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (Q)
|
100% |
724
134.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
828
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1737
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
710
57.4 IPS |
|
|
Face Detection (SP)
|
100% |
754
8.95 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.93 IPS |
|
|
Face Detection (Q)
|
95% |
1723
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
997
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
1620
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1998
2.59 IPS |
|
|
Style Transfer (HP)
|
89% |
1999
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
3998
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (HP)
|
100% |
288
383.8 IPS |
|
|
Text Classification (Q)
|
88% |
584
788.1 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
