samsung SM-X910
Geekbench AI Score
281
Single Precision Score
16180
Half Precision Score
36561
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 10:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12551
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
32397
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
7477
121.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
21047
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
74505
86.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
293978
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11885
942.7 IPS |
|
|
Object Detection (Q)
|
86% |
13370
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
23885
283.8 IPS |
|
|
Face Detection (Q)
|
97% |
82029
978.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
44725
344.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
80963
758.1 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
61001
78.7 IPS |
|
|
Style Transfer (Q)
|
98% |
293961
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32713
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82274
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
296.0 IPS |
|
|
Text Classification (HP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
2838
48.9 IPS |
|
|
Machine Translation (Q)
|
55% |
1760
46.1 IPS |
