Nokia 8.3 5G
Geekbench AI Score
496
Single Precision Score
487
Half Precision Score
868
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 26 2025 07:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Nokia 8.3 5G |
| Model ID | HMD Global Nokia 8.3 5G |
| Motherboard | BabyGroot |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.3 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
697
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1043
1.22 IPS |
|
|
Pose Estimation (Q)
|
84% |
1497
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (HP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
597
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
701
8.32 IPS |
|
|
Face Detection (HP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (Q)
|
95% |
1262
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
797
6.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
833
6.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1332
12.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1685
2.19 IPS |
|
|
Style Transfer (HP)
|
89% |
1601
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3344
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
507
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
491
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
781
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
245
326.5 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.8 IPS |
|
|
Text Classification (Q)
|
88% |
467
629.2 IPS |
|
|
Machine Translation (SP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.19 IPS |
|
|
Machine Translation (Q)
|
50% |
297
10.5 IPS |
