samsung SM-X920
Geekbench AI Score
2007
Single Precision Score
2879
Half Precision Score
2343
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 05:02 PM |
| Views | 3 |
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% |
972
180.8 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
97% |
1369
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3631
58.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3505
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11673
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18349
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18092
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
99% |
1570
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
1616
130.5 IPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
5605
66.6 IPS |
|
|
Face Detection (Q)
|
96% |
4653
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6375
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10373
80.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
7718
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15257
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34227
44.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35886
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4381
162.4 IPS |
|
|
Text Classification (SP)
|
35% |
41
377.0 IPS |
|
|
Text Classification (HP)
|
29% |
27
458.8 IPS |
|
|
Text Classification (Q)
|
29% |
28
491.0 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
43% |
225
13.1 IPS |
