samsung SM-X910
Geekbench AI Score
959
Single Precision Score
1248
Half Precision Score
1225
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zenckers81 |
| Upload Date | June 13 2025 12:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
659
122.5 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (Q)
|
96% |
686
128.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1431
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (Q)
|
87% |
861
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
2226
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
97% |
2660
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1492
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2383
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3867
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8725
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8627
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
361
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.9 IPS |
|
|
Text Classification (HP)
|
100% |
453
604.7 IPS |
|
|
Text Classification (Q)
|
91% |
711
956.3 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
57% |
527
12.9 IPS |
