samsung SM-X910
Geekbench AI Score
281
Single Precision Score
16100
Half Precision Score
36466
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X910 |
| Model ID | samsung SM-X910 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12521
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32274
6.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
7499
121.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21037
342.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72678
84.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
292947
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11845
939.6 IPS |
|
|
Object Detection (Q)
|
86% |
13301
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
453
5.39 IPS |
|
|
Face Detection (HP)
|
100% |
24085
286.2 IPS |
|
|
Face Detection (Q)
|
97% |
83822
999.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
44747
344.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
81257
760.9 IPS |
|
|
Style Transfer (SP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60290
77.7 IPS |
|
|
Style Transfer (Q)
|
98% |
294065
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32584
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81990
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
222
295.8 IPS |
|
|
Text Classification (HP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (HP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1751
45.9 IPS |
