samsung SM-X920
Geekbench AI Score
1672
Single Precision Score
2412
Half Precision Score
1981
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
97% |
949
177.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3214
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11425
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19183
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16812
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (HP)
|
99% |
1405
111.4 IPS |
|
|
Object Detection (Q)
|
83% |
1165
94.1 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (Q)
|
96% |
3754
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5162
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10000
77.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
7731
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15225
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34193
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31199
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3763
139.4 IPS |
|
|
Text Classification (SP)
|
35% |
26
240.4 IPS |
|
|
Text Classification (HP)
|
29% |
21
363.8 IPS |
|
|
Text Classification (Q)
|
32% |
27
350.8 IPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
43% |
170
9.86 IPS |
