samsung SM-X910
Geekbench AI Score
1012
Single Precision Score
936
Half Precision Score
1836
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zenckers81 |
| Upload Date | June 13 2025 12:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.4 IPS |
|
|
Image Classification (HP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (Q)
|
100% |
1261
234.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
743
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1370
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1750
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
3698
4.39 IPS |
|
|
Object Detection (SP)
|
98% |
715
56.9 IPS |
|
|
Object Detection (HP)
|
98% |
658
52.4 IPS |
|
|
Object Detection (Q)
|
83% |
1410
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
95% |
3058
36.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2098
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.27 IPS |
|
|
Depth Estimation (Q)
|
64% |
3306
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3567
4.63 IPS |
|
|
Style Transfer (HP)
|
89% |
3666
4.76 IPS |
|
|
Style Transfer (Q)
|
98% |
9136
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1391
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.6 IPS |
|
|
Text Classification (HP)
|
99% |
452
602.7 IPS |
|
|
Text Classification (Q)
|
88% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
502
17.8 IPS |
