OnePlus CPH2581
Geekbench AI Score
253
Single Precision Score
14526
Half Precision Score
37192
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | F0xMaster |
| Upload Date | September 16 2024 10:54 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2581 |
| Model ID | OnePlus CPH2581 |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
146
27.2 IPS |
|
|
Image Classification (HP)
|
100% |
15044
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
40708
7.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
10278
166.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
27541
447.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
253
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
76165
88.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
391720
458.5 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
13643
1.08 KIPS |
|
|
Object Detection (Q)
|
86% |
17671
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
432
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
30053
357.1 IPS |
|
|
Face Detection (Q)
|
97% |
104148
1.24 KIPS |
|
|
Depth Estimation (SP)
|
100% |
342
2.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
55100
424.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
111064
1.04 KIPS |
|
|
Style Transfer (SP)
|
100% |
613
0.79 IPS |
|
|
Style Transfer (HP)
|
24% |
3665
110.9 IPS |
|
|
Style Transfer (Q)
|
98% |
301892
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.02 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39047
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104716
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
199
265.4 IPS |
|
|
Text Classification (HP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6710
9.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
3457
59.6 IPS |
|
|
Machine Translation (Q)
|
30% |
266
53.5 IPS |
