OnePlus CPH2581
Geekbench AI Score
468
Single Precision Score
15312
Half Precision Score
39302
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 10:17 AM |
| Views | 10 |
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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
16742
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
43015
8.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
10801
175.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29267
475.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
537
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
77056
89.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
396756
464.4 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
14782
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
19420
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
33530
398.4 IPS |
|
|
Face Detection (Q)
|
97% |
127797
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
56878
438.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
116774
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (HP)
|
24% |
3663
110.8 IPS |
|
|
Style Transfer (Q)
|
98% |
303110
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.10 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40767
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104352
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
456
609.2 IPS |
|
|
Text Classification (HP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6763
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
707
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (Q)
|
30% |
284
57.0 IPS |
