samsung SM-X920
Geekbench AI Score
2130
Single Precision Score
2116
Half Precision Score
3061
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | nightmare2re |
| Upload Date | August 15 2025 02:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1782
331.5 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (Q)
|
100% |
2639
490.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2806
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3027
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
5686
6.74 IPS |
|
|
Object Detection (SP)
|
98% |
1454
115.7 IPS |
|
|
Object Detection (HP)
|
98% |
1498
119.2 IPS |
|
|
Object Detection (Q)
|
83% |
2005
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (Q)
|
95% |
4816
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3303
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4912
45.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6482
8.41 IPS |
|
|
Style Transfer (HP)
|
89% |
6574
8.53 IPS |
|
|
Style Transfer (Q)
|
98% |
12447
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2966
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
703
937.9 IPS |
|
|
Text Classification (HP)
|
99% |
715
954.8 IPS |
|
|
Text Classification (Q)
|
88% |
1252
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (Q)
|
50% |
783
27.8 IPS |
