TECNO TECNO LI7
Geekbench AI Score
161
Single Precision Score
225
Half Precision Score
213
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 05:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | TECNO TECNO LI7 |
| Model ID | TECNO TECNO LI7 |
| Motherboard | TECNO-LI7 |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
99% |
188
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
101
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
117
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
117
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.10 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
83% |
149
12.1 IPS |
|
|
Face Detection (SP)
|
100% |
253
3.01 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
97% |
351
4.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
191
1.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
250
1.93 IPS |
|
|
Depth Estimation (Q)
|
62% |
203
1.92 IPS |
|
|
Style Transfer (SP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
533
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
532
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
101
3.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
153
5.67 IPS |
|
|
Text Classification (SP)
|
100% |
159
211.7 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.5 IPS |
|
|
Text Classification (Q)
|
91% |
256
343.8 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
57% |
181
4.42 IPS |
