samsung SM-X920
Geekbench AI Score
1231
Single Precision Score
5189
Half Precision Score
4963
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X920 |
| Model ID | samsung SM-X920 |
| Motherboard | gts10uwifi |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.1 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.1 IPS |
|
|
Image Classification (Q)
|
99% |
9229
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4357
70.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1861
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9153
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75218
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
4716
374.1 IPS |
|
|
Object Detection (Q)
|
86% |
5847
470.3 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
12151
144.4 IPS |
|
|
Face Detection (Q)
|
97% |
11690
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
19460
149.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
33396
317.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2627
3.38 IPS |
|
|
Style Transfer (HP)
|
100% |
692
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
414
6.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3038
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10899
402.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8213
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
135
179.7 IPS |
|
|
Text Classification (HP)
|
97% |
2176
2.91 KIPS |
|
|
Text Classification (Q)
|
73% |
2076
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (Q)
|
60% |
436
9.82 IPS |
