HMD Global Nokia G60 5G
Geekbench AI Score
166
Single Precision Score
349
Half Precision Score
765
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 07:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HMD Global Nokia G60 5G |
| Model ID | HMD Global Nokia G60 5G |
| Motherboard | Apollo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.2 IPS |
|
|
Image Classification (Q)
|
97% |
611
114.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
596
9.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1252
1.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
4659
5.46 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
99% |
257
20.4 IPS |
|
|
Object Detection (Q)
|
85% |
507
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
329
2.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
2700
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
443
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
1898
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1776
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.30 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.6 IPS |
|
|
Text Classification (Q)
|
93% |
60
80.7 IPS |
|
|
Machine Translation (SP)
|
100% |
65
1.13 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.84 IPS |
|
|
Machine Translation (Q)
|
54% |
91
2.57 IPS |
