TECNO TECNO CM7
Geekbench AI Score
977
Single Precision Score
964
Half Precision Score
2022
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 06:34 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.9 IPS |
|
|
Image Classification (Q)
|
100% |
1477
274.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
534
8.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1719
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
3791
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
3497
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1735
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1718
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3533
32.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3941
5.12 IPS |
|
|
Style Transfer (HP)
|
89% |
3970
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
8041
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1943
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
507
677.1 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.6 IPS |
|
|
Text Classification (Q)
|
88% |
901
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (Q)
|
50% |
483
17.1 IPS |
