samsung SM-X910
Geekbench AI Score
916
Single Precision Score
1212
Half Precision Score
1199
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 09 2024 12:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (Q)
|
96% |
811
151.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1065
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1429
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
87% |
684
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
2740
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2894
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2392
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3865
4.97 IPS |
|
|
Style Transfer (HP)
|
100% |
8706
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8631
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
356
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
448
597.4 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.3 IPS |
|
|
Text Classification (Q)
|
91% |
696
935.1 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
57% |
520
12.7 IPS |
