Nokia 8.3 5G
Geekbench AI Score
554
Single Precision Score
549
Half Precision Score
987
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | November 01 2024 02:18 AM |
| Views | 16 |
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% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (Q)
|
100% |
683
127.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
772
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1189
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1191
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1683
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
83% |
689
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
95% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
983
7.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1464
13.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1851
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1843
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
3833
4.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
895
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
286
382.0 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.9 IPS |
|
|
Text Classification (Q)
|
88% |
550
742.2 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
