ONYX GoColor7_2
Geekbench AI Score
256
Single Precision Score
383
Half Precision Score
351
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | AgenttiX |
| Upload Date | January 02 2026 06:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
189
35.1 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
99% |
266
49.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
386
6.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
1705
1.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
1678
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
99% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
85% |
208
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.33 IPS |
|
|
Face Detection (Q)
|
97% |
703
8.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
644
4.96 IPS |
|
|
Depth Estimation (HP)
|
98% |
1019
7.88 IPS |
|
|
Depth Estimation (Q)
|
65% |
848
7.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1390
1.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2529
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
2455
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
399
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
390
14.5 IPS |
|
|
Text Classification (SP)
|
35% |
10
93.8 IPS |
|
|
Text Classification (HP)
|
35% |
15
139.3 IPS |
|
|
Text Classification (Q)
|
35% |
15
137.2 IPS |
|
|
Machine Translation (SP)
|
100% |
108
1.86 IPS |
|
|
Machine Translation (HP)
|
97% |
121
2.09 IPS |
|
|
Machine Translation (Q)
|
64% |
95
1.95 IPS |
