OnePlus CPH2491
Geekbench AI Score
731
Single Precision Score
940
Half Precision Score
949
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 08:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2491 |
| Model ID | OnePlus CPH2491 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
536
99.6 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.5 IPS |
|
|
Image Classification (Q)
|
99% |
732
136.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
925
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
920
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
83% |
627
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
2203
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1013
7.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1195
9.21 IPS |
|
|
Depth Estimation (Q)
|
62% |
978
9.26 IPS |
|
|
Style Transfer (SP)
|
100% |
2785
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3795
4.88 IPS |
|
|
Style Transfer (Q)
|
98% |
3787
4.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
728
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
294
391.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
91% |
530
712.7 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.76 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
57% |
436
10.7 IPS |
