TECNO TECNO BG6
Geekbench AI Score
331
Single Precision Score
330
Half Precision Score
547
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 04:52 PM |
| 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% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
100% |
420
78.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
547
8.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
757
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
765
0.89 IPS |
|
|
Pose Estimation (Q)
|
84% |
1301
1.54 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
362
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (Q)
|
95% |
923
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
984
9.01 IPS |
|
|
Style Transfer (SP)
|
89% |
1467
1.90 IPS |
|
|
Style Transfer (HP)
|
89% |
1518
1.97 IPS |
|
|
Style Transfer (Q)
|
98% |
2801
3.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
575
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.5 IPS |
|
|
Text Classification (HP)
|
100% |
142
189.9 IPS |
|
|
Text Classification (Q)
|
88% |
154
207.1 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
99
3.52 IPS |
