samsung SM-X510
Geekbench AI Score
194
Single Precision Score
359
Half Precision Score
520
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 06 2025 07:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X510 |
| Model ID | samsung SM-X510 |
| Motherboard | s5e8835 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
2464
2.87 IPS |
|
|
Pose Estimation (Q)
|
98% |
879
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
365
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.88 IPS |
|
|
Face Detection (Q)
|
97% |
733
8.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
279
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
709
6.44 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1388
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
847
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.8 IPS |
|
|
Text Classification (HP)
|
100% |
178
238.1 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.7 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
