samsung SM-X920
Geekbench AI Score
2191
Single Precision Score
2189
Half Precision Score
3095
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 18 2025 01:05 PM |
| Views | 5 |
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% |
1623
301.8 IPS |
|
|
Image Classification (HP)
|
100% |
1777
330.4 IPS |
|
|
Image Classification (Q)
|
100% |
2639
490.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2813
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2815
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6143
7.29 IPS |
|
|
Object Detection (SP)
|
98% |
1487
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
1638
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
2049
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
4859
58.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3424
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3375
26.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5216
47.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7539
9.79 IPS |
|
|
Style Transfer (HP)
|
89% |
6982
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
12352
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3259
120.8 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.1 IPS |
|
|
Text Classification (HP)
|
99% |
721
961.8 IPS |
|
|
Text Classification (Q)
|
88% |
1230
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.5 IPS |
|
|
Machine Translation (Q)
|
50% |
690
24.5 IPS |
