TECNO TECNO CM7
Geekbench AI Score
968
Single Precision Score
967
Half Precision Score
1975
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 10:21 AM |
| Views | 5 |
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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
567
9.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1751
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2082
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3599
4.27 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.4 IPS |
|
|
Object Detection (Q)
|
83% |
1332
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1201
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
3286
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1730
13.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3255
29.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3628
4.71 IPS |
|
|
Style Transfer (HP)
|
89% |
3610
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8195
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
922
34.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1951
72.3 IPS |
|
|
Text Classification (SP)
|
100% |
506
674.9 IPS |
|
|
Text Classification (HP)
|
100% |
497
663.5 IPS |
|
|
Text Classification (Q)
|
88% |
905
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
