OnePlus CPH2583
Geekbench AI Score
500
Single Precision Score
15392
Half Precision Score
39538
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | November 19 2024 04:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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 | 14.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
316
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
16746
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
42544
7.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
10871
176.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29623
481.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
529
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
76890
89.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
398535
466.5 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
14974
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
19592
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (HP)
|
100% |
33804
401.7 IPS |
|
|
Face Detection (Q)
|
97% |
129204
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
638
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
57346
441.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
117713
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1016
1.31 IPS |
|
|
Style Transfer (HP)
|
24% |
3696
111.8 IPS |
|
|
Style Transfer (Q)
|
98% |
305978
394.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
335
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40679
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105544
3.91 KIPS |
|
|
Text Classification (SP)
|
100% |
445
593.8 IPS |
|
|
Text Classification (HP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6616
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
30% |
292
58.6 IPS |
