samsung SM-X610
Geekbench AI Score
870
Single Precision Score
864
Half Precision Score
1854
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | xRoach |
| Upload Date | January 11 2025 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X610 |
| Model ID | samsung SM-X610 |
| 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% |
448
83.3 IPS |
|
|
Image Classification (HP)
|
100% |
447
83.2 IPS |
|
|
Image Classification (Q)
|
100% |
1381
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
521
8.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1633
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1831
2.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
3457
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
83% |
1238
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
3100
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1566
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3082
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3207
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3214
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
7736
9.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
884
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1920
71.1 IPS |
|
|
Text Classification (SP)
|
100% |
485
646.8 IPS |
|
|
Text Classification (HP)
|
100% |
482
643.5 IPS |
|
|
Text Classification (Q)
|
88% |
906
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
50% |
388
13.8 IPS |
