samsung SM-X920
Geekbench AI Score
1161
Single Precision Score
5293
Half Precision Score
5036
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 18 2025 01:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.5 IPS |
|
|
Image Classification (Q)
|
99% |
10003
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4623
74.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1884
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8847
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18433
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75663
88.7 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
5060
401.3 IPS |
|
|
Object Detection (Q)
|
86% |
6198
498.6 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
12957
154.0 IPS |
|
|
Face Detection (Q)
|
97% |
12044
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1201
9.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
19847
152.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
34754
330.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2599
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
691
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
410
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2934
108.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10824
399.7 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8111
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.7 IPS |
|
|
Text Classification (HP)
|
97% |
2114
2.83 KIPS |
|
|
Text Classification (Q)
|
73% |
2029
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
60% |
421
9.49 IPS |
