TECNO TECNO CM7
Geekbench AI Score
927
Single Precision Score
928
Half Precision Score
1870
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 12:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO CM7 |
| Model ID | TECNO TECNO CM7 |
| Motherboard | TECNO-CM7 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
100% |
1379
256.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1868
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3420
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
428
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1280
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
3136
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1665
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1635
12.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3104
28.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3414
4.43 IPS |
|
|
Style Transfer (HP)
|
89% |
3603
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
7796
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
962
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1832
67.9 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.2 IPS |
|
|
Text Classification (HP)
|
100% |
480
640.9 IPS |
|
|
Text Classification (Q)
|
88% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
