OnePlus CPH2583
Geekbench AI Score
1990
Single Precision Score
2007
Half Precision Score
3060
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 07 2025 09:41 AM |
| Views | 15 |
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% |
1430
266.0 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (Q)
|
100% |
2913
541.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3485
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3964
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3594
4.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
6658
7.90 IPS |
|
|
Object Detection (SP)
|
98% |
1325
105.4 IPS |
|
|
Object Detection (HP)
|
98% |
1337
106.4 IPS |
|
|
Object Detection (Q)
|
83% |
1880
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (Q)
|
95% |
4490
53.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2703
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2700
20.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4649
42.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7156
9.29 IPS |
|
|
Style Transfer (HP)
|
89% |
7142
9.27 IPS |
|
|
Style Transfer (Q)
|
98% |
13327
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3375
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.4 IPS |
|
|
Text Classification (HP)
|
99% |
631
842.4 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1173
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
631
22.4 IPS |
