ONYX GoColor7_2
Geekbench AI Score
502
Single Precision Score
500
Half Precision Score
942
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | January 02 2026 06:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1584
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
83% |
644
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
95% |
1496
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
886
6.83 IPS |
|
|
Depth Estimation (Q)
|
64% |
1478
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1810
2.35 IPS |
|
|
Style Transfer (HP)
|
89% |
1813
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
3733
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
264
351.9 IPS |
|
|
Text Classification (HP)
|
100% |
261
347.9 IPS |
|
|
Text Classification (Q)
|
88% |
477
643.2 IPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
50% |
325
11.5 IPS |
