OnePlus CPH2583
Geekbench AI Score
499
Single Precision Score
15261
Half Precision Score
39326
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | UrkMrl |
| Upload Date | November 15 2024 06:21 AM |
| Views | 15 |
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% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
16745
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
42573
7.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
10958
177.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29568
480.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
76711
89.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
397971
465.8 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
14973
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
19480
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (HP)
|
100% |
33710
400.5 IPS |
|
|
Face Detection (Q)
|
97% |
129435
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
633
4.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
57314
441.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
117536
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1015
1.30 IPS |
|
|
Style Transfer (HP)
|
24% |
3698
111.9 IPS |
|
|
Style Transfer (Q)
|
98% |
306270
394.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40583
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
106266
3.94 KIPS |
|
|
Text Classification (SP)
|
100% |
446
594.7 IPS |
|
|
Text Classification (HP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6708
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (Q)
|
30% |
273
54.8 IPS |
