samsung SM-X510
Geekbench AI Score
288
Single Precision Score
389
Half Precision Score
403
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 09:47 AM |
| Views | 2 |
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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.5 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
97% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
489
7.96 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% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
92% |
278
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (HP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
968
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
72% |
443
3.66 IPS |
|
|
Style Transfer (SP)
|
100% |
751
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1072
1.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1068
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
198
7.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
304
11.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
300
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.6 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.1 IPS |
|
|
Text Classification (Q)
|
91% |
343
461.5 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
