ONYX GoColor7_2
Geekbench AI Score
148
Single Precision Score
249
Half Precision Score
843
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | January 02 2026 07:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | ONYX GoColor7_2 |
| Model ID | ONYX GoColor7_2 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 3.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (HP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (Q)
|
97% |
533
99.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
679
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
403
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
3853
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.35 IPS |
|
|
Object Detection (Q)
|
85% |
565
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
312
3.71 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
97% |
1510
18.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
290
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
223
1.72 IPS |
|
|
Depth Estimation (Q)
|
63% |
2501
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
371
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2302
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1844
68.3 IPS |
|
|
Text Classification (SP)
|
71% |
3
4.75 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.6 IPS |
|
|
Text Classification (Q)
|
93% |
105
140.8 IPS |
|
|
Machine Translation (SP)
|
100% |
96
1.66 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.26 IPS |
|
|
Machine Translation (Q)
|
54% |
137
3.85 IPS |
