OnePlus CPH2583
Geekbench AI Score
2176
Single Precision Score
2117
Half Precision Score
3309
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | March 04 2025 11:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2583 |
| Model ID | OnePlus CPH2583 |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.7 IPS |
|
|
Image Classification (Q)
|
100% |
2006
373.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2872
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3431
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
7775
9.22 IPS |
|
|
Object Detection (SP)
|
98% |
1577
125.5 IPS |
|
|
Object Detection (HP)
|
98% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
83% |
2305
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (Q)
|
95% |
5340
63.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3126
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5468
50.1 IPS |
|
|
Style Transfer (SP)
|
89% |
8206
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
7717
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16124
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1616
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4019
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.8 IPS |
|
|
Text Classification (HP)
|
99% |
744
993.0 IPS |
|
|
Text Classification (Q)
|
88% |
1143
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
706
25.1 IPS |
