Nokia 8.3 5G
Geekbench AI Score
159
Single Precision Score
293
Half Precision Score
450
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 22 2025 03:05 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
177
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
97% |
900
167.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
855
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1279
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
6699
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.27 IPS |
|
|
Object Detection (Q)
|
85% |
746
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
2072
24.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
22% |
148
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
544
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
415
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2291
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2771
102.7 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.04 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.7 IPS |
|
|
Text Classification (Q)
|
93% |
46
61.2 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.11 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
0
|
