samsung SM-X920
Geekbench AI Score
1702
Single Precision Score
2395
Half Precision Score
1886
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | August 18 2025 01:11 PM |
| Views | 9 |
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% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
97% |
955
178.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2912
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11360
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19142
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18297
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
1206
95.6 IPS |
|
|
Object Detection (Q)
|
83% |
1202
97.1 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4633
55.0 IPS |
|
|
Face Detection (Q)
|
96% |
3890
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9834
76.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
7703
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15447
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32314
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32316
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2100
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3536
131.0 IPS |
|
|
Text Classification (SP)
|
35% |
31
281.8 IPS |
|
|
Text Classification (HP)
|
29% |
21
361.3 IPS |
|
|
Text Classification (Q)
|
29% |
21
364.8 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
43% |
130
7.58 IPS |
