samsung SM-X626B
Geekbench AI Score
1366
Single Precision Score
1375
Half Precision Score
2562
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 03:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X626B |
| Model ID | samsung SM-X626B |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.6 IPS |
|
|
Image Classification (Q)
|
100% |
2088
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2359
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
5709
6.77 IPS |
|
|
Object Detection (SP)
|
98% |
971
77.3 IPS |
|
|
Object Detection (HP)
|
98% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
83% |
1700
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1519
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3983
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2101
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4287
39.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5120
6.65 IPS |
|
|
Style Transfer (HP)
|
89% |
5124
6.65 IPS |
|
|
Style Transfer (Q)
|
98% |
11472
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2796
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
513
685.3 IPS |
|
|
Text Classification (HP)
|
99% |
538
718.2 IPS |
|
|
Text Classification (Q)
|
88% |
969
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
