Gigaset E940-2878-03
Geekbench AI Score
267
Single Precision Score
263
Half Precision Score
460
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 02:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769V/CZ |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Gigaset E940-2878-03 |
| Model ID | Gigaset E940-2878-03 |
| Motherboard | pri_board |
| CPU Information | |
|---|---|
| Name | ARM MT6769V/CZ |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
166
31.0 IPS |
|
|
Image Classification (Q)
|
100% |
412
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
182
2.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
683
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
105
8.30 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
314
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
346
4.12 IPS |
|
|
Face Detection (Q)
|
95% |
913
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
358
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
386
2.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
673
6.17 IPS |
|
|
Style Transfer (SP)
|
89% |
1025
1.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1181
1.53 IPS |
|
|
Style Transfer (Q)
|
98% |
1636
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
240
8.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
211
7.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.3 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.6 IPS |
|
|
Text Classification (Q)
|
88% |
197
266.3 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.49 IPS |
|
|
Machine Translation (Q)
|
50% |
89
3.14 IPS |
