Nokia 8.3 5G
Geekbench AI Score
330
Single Precision Score
541
Half Precision Score
502
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | September 26 2025 07:25 PM |
| Views | 8 |
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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
99% |
363
67.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
529
8.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
1412
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2540
2.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
2488
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
85% |
297
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
769
5.92 IPS |
|
|
Depth Estimation (HP)
|
98% |
1287
9.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
1063
9.81 IPS |
|
|
Style Transfer (SP)
|
100% |
1636
2.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3464
4.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3411
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
573
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
563
20.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
146.8 IPS |
|
|
Text Classification (HP)
|
35% |
24
222.8 IPS |
|
|
Text Classification (Q)
|
35% |
24
218.3 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
97% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
64% |
154
3.17 IPS |
