samsung SM-X400
Geekbench AI Score
758
Single Precision Score
1301
Half Precision Score
1601
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 14 2026 11:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X400 |
| Model ID | samsung SM-X400 |
| 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% |
439
81.6 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
99% |
1065
198.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1393
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1636
1.91 IPS |
|
|
Pose Estimation (HP)
|
92% |
3347
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
2950
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
97% |
682
54.3 IPS |
|
|
Object Detection (Q)
|
85% |
1047
84.4 IPS |
|
|
Face Detection (SP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
2557
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1251
9.64 IPS |
|
|
Depth Estimation (HP)
|
98% |
2483
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2814
26.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3032
3.94 IPS |
|
|
Style Transfer (HP)
|
88% |
3976
5.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6129
7.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1227
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1487
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
337
450.4 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.7 IPS |
|
|
Text Classification (Q)
|
93% |
739
992.8 IPS |
|
|
Machine Translation (SP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (HP)
|
96% |
628
10.9 IPS |
|
|
Machine Translation (Q)
|
55% |
499
13.4 IPS |
