HMD Global Nokia G60 5G
Geekbench AI Score
315
Single Precision Score
469
Half Precision Score
430
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 06:43 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
1423
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2299
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2258
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
99% |
264
21.0 IPS |
|
|
Object Detection (Q)
|
85% |
254
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
813
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
850
6.55 IPS |
|
|
Depth Estimation (HP)
|
98% |
1394
10.8 IPS |
|
|
Depth Estimation (Q)
|
65% |
1158
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1857
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
3424
4.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3223
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
329
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
497
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
35% |
10
95.2 IPS |
|
|
Text Classification (HP)
|
35% |
17
158.0 IPS |
|
|
Text Classification (Q)
|
35% |
17
153.4 IPS |
|
|
Machine Translation (SP)
|
100% |
113
1.95 IPS |
|
|
Machine Translation (HP)
|
97% |
123
2.13 IPS |
|
|
Machine Translation (Q)
|
64% |
98
2.01 IPS |
