samsung SM-X910
Geekbench AI Score
870
Single Precision Score
1119
Half Precision Score
1066
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 12:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
1022
190.1 IPS |
|
|
Image Classification (Q)
|
96% |
1068
199.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1072
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1061
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1499
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
87% |
702
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
2192
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (Q)
|
97% |
1694
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1509
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2875
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2370
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8685
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8591
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.0 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.5 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.95 IPS |
