Datalogic Memor 35/35X
Geekbench AI Score
631
Single Precision Score
631
Half Precision Score
1154
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 04:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Datalogic Memor 35/35X |
| Model ID | Datalogic Memor 35/35X |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
100% |
775
144.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
898
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1406
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
1893
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.2 IPS |
|
|
Object Detection (Q)
|
83% |
774
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
915
10.9 IPS |
|
|
Face Detection (Q)
|
95% |
1853
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1223
9.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1230
9.48 IPS |
|
|
Depth Estimation (Q)
|
64% |
1766
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2288
2.97 IPS |
|
|
Style Transfer (HP)
|
89% |
2294
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4519
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1075
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.1 IPS |
|
|
Text Classification (Q)
|
88% |
615
828.8 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
