TECNO TECNO LI9
Geekbench AI Score
528
Single Precision Score
533
Half Precision Score
993
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 02:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO LI9 |
| Model ID | TECNO TECNO LI9 |
| Motherboard | TECNO-LI9 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
100% |
678
126.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1748
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
682
55.1 IPS |
|
|
Face Detection (SP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
95% |
1550
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
863
6.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
947
7.29 IPS |
|
|
Depth Estimation (Q)
|
64% |
1596
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1952
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1952
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3968
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
961
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.3 IPS |
|
|
Text Classification (HP)
|
100% |
283
378.3 IPS |
|
|
Text Classification (Q)
|
88% |
491
662.4 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
50% |
339
12.0 IPS |
