samsung SM-X910
Geekbench AI Score
960
Single Precision Score
884
Half Precision Score
1869
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 08:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1049
195.2 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
100% |
1323
246.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1790
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2110
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1780
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3854
4.57 IPS |
|
|
Object Detection (SP)
|
98% |
411
32.7 IPS |
|
|
Object Detection (HP)
|
98% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
1009
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2775
33.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1095
8.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1036
8.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
2886
26.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2529
3.28 IPS |
|
|
Style Transfer (HP)
|
89% |
3502
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
9261
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
458
611.2 IPS |
|
|
Text Classification (HP)
|
99% |
416
554.9 IPS |
|
|
Text Classification (Q)
|
88% |
817
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
