Nokia 8.3 5G
Geekbench AI Score
184
Single Precision Score
182
Half Precision Score
386
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 26 2025 06:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
120
22.4 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.7 IPS |
|
|
Image Classification (Q)
|
99% |
260
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
284
4.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
720
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.66 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.54 IPS |
|
|
Object Detection (Q)
|
87% |
265
21.3 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (HP)
|
100% |
270
3.20 IPS |
|
|
Face Detection (Q)
|
97% |
525
6.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
228
1.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
510
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
381
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1110
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
113
4.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
161
214.6 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (Q)
|
91% |
263
353.0 IPS |
|
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
|
Machine Translation (HP)
|
100% |
261
4.49 IPS |
|
|
Machine Translation (Q)
|
57% |
168
4.11 IPS |
