HMD Global Nokia G60 5G
Geekbench AI Score
196
Single Precision Score
197
Half Precision Score
576
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 13 2025 07:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.3 IPS |
|
|
Image Classification (Q)
|
96% |
594
110.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
156
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
826
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
210
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
210
0.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
5083
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.01 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.05 IPS |
|
|
Object Detection (Q)
|
84% |
695
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
298
3.54 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.57 IPS |
|
|
Face Detection (Q)
|
97% |
1368
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
258
1.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
2880
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
444
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
8278
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
452
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.5 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.1 IPS |
|
|
Text Classification (Q)
|
93% |
158
212.5 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.34 IPS |
