OnePlus CPH2447
Geekbench AI Score
494
Single Precision Score
12239
Half Precision Score
28711
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | taruntom1 |
| Upload Date | November 16 2024 05:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2447 |
| Model ID | OnePlus CPH2447 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
13245
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32539
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
8007
129.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20319
330.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
518
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
71351
83.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
292521
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
12296
975.3 IPS |
|
|
Object Detection (Q)
|
86% |
13279
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
26462
314.4 IPS |
|
|
Face Detection (Q)
|
97% |
91597
1.09 KIPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
43133
332.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
82320
770.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1009
1.30 IPS |
|
|
Style Transfer (HP)
|
24% |
2981
90.2 IPS |
|
|
Style Transfer (Q)
|
98% |
221172
285.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32320
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82446
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
448
598.1 IPS |
|
|
Text Classification (HP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (Q)
|
30% |
200
40.2 IPS |
