samsung SM-X510
Geekbench AI Score
635
Single Precision Score
633
Half Precision Score
1421
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Kekko01 |
| Upload Date | August 17 2024 09:28 AM |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.8 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (Q)
|
100% |
1320
245.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1132
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1394
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1408
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
2820
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
938
75.3 IPS |
|
|
Face Detection (SP)
|
100% |
818
9.72 IPS |
|
|
Face Detection (HP)
|
100% |
824
9.79 IPS |
|
|
Face Detection (Q)
|
95% |
2249
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1118
8.61 IPS |
|
|
Depth Estimation (HP)
|
100% |
1001
7.71 IPS |
|
|
Depth Estimation (Q)
|
75% |
2642
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2468
3.20 IPS |
|
|
Style Transfer (HP)
|
89% |
2478
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
5912
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1403
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.4 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.8 IPS |
|
|
Text Classification (Q)
|
88% |
584
787.1 IPS |
|
|
Machine Translation (SP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
50% |
296
10.5 IPS |
