samsung SM-X620
Geekbench AI Score
781
Single Precision Score
1148
Half Precision Score
870
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | csoltenborn |
| Upload Date | November 29 2025 03:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X620 |
| Model ID | samsung SM-X620 |
| 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 | 11.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.6 IPS |
|
|
Image Classification (Q)
|
100% |
423
78.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3382
3.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
6782
7.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
6641
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
99% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
84% |
624
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
2185
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2171
16.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3684
28.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2806
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6405
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
9967
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10055
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1790
66.3 IPS |
|
|
Text Classification (SP)
|
35% |
27
241.3 IPS |
|
|
Text Classification (HP)
|
35% |
25
229.8 IPS |
|
|
Text Classification (Q)
|
31% |
15
229.7 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (Q)
|
42% |
79
5.12 IPS |
