samsung SM-X510
Geekbench AI Score
288
Single Precision Score
386
Half Precision Score
394
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andreadandrea |
| Upload Date | January 06 2025 07:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.4 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
190
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
224
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
83% |
273
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
921
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
367
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
386
3.66 IPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1072
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1067
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
305
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.2 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
