samsung SM-X510
Geekbench AI Score
857
Single Precision Score
841
Half Precision Score
1823
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 06 2025 07:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
100% |
1380
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1605
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1810
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
3403
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
83% |
1236
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
1128
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1560
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1575
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3075
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3182
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
3179
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
7780
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
873
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1868
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.7 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.9 IPS |
|
|
Text Classification (Q)
|
88% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
