samsung SM-X400
Geekbench AI Score
190
Single Precision Score
359
Half Precision Score
513
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 28 2025 11:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
99% |
337
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
82
0.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
2476
2.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
861
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.94 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.97 IPS |
|
|
Object Detection (Q)
|
87% |
362
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (Q)
|
97% |
734
8.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
280
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
690
6.26 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1338
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
487
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.6 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.4 IPS |
|
|
Text Classification (Q)
|
91% |
343
461.1 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
