TECNO TECNO BG6
Geekbench AI Score
373
Single Precision Score
370
Half Precision Score
594
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 12:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Unisoc |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | TECNO TECNO BG6 |
| Model ID | TECNO TECNO BG6 |
| Motherboard | TECNO-BG6 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Unisoc |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 8 Cores @ 1.61 GHz |
| Memory Information | |
|---|---|
| Size | 2.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
100% |
459
85.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
567
9.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
845
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1312
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
83% |
392
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (Q)
|
95% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
645
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
605
4.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1146
10.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1673
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1653
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3135
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
626
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
171
227.7 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
88% |
176
237.0 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
50% |
98
3.49 IPS |
