TECNO TECNO CM5
Geekbench AI Score
512
Single Precision Score
495
Half Precision Score
936
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 07:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | TECNO TECNO CM5 |
| Model ID | TECNO TECNO CM5 |
| Motherboard | TECNO-CM5 |
| 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% |
223
41.5 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
100% |
642
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1112
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1108
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
1608
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
630
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
727
8.64 IPS |
|
|
Face Detection (HP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (Q)
|
95% |
1464
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
661
5.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
1469
13.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1855
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1845
2.40 IPS |
|
|
Style Transfer (Q)
|
98% |
3686
4.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
498
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.0 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.1 IPS |
|
|
Text Classification (Q)
|
88% |
481
648.2 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
