Nokia 8.3 5G
Geekbench AI Score
332
Single Precision Score
544
Half Precision Score
504
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 22 2025 03:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
99% |
393
73.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2517
2.94 IPS |
|
|
Pose Estimation (Q)
|
97% |
2499
2.93 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
85% |
305
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
668
7.93 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
927
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1296
10.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1059
9.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1635
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3494
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3402
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
149.3 IPS |
|
|
Text Classification (HP)
|
35% |
25
227.3 IPS |
|
|
Text Classification (Q)
|
35% |
24
219.0 IPS |
|
|
Machine Translation (SP)
|
100% |
137
2.35 IPS |
|
|
Machine Translation (HP)
|
97% |
182
3.14 IPS |
|
|
Machine Translation (Q)
|
64% |
150
3.08 IPS |
