samsung SM-X920
Geekbench AI Score
1224
Single Precision Score
5160
Half Precision Score
4941
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 05 2025 09:04 PM |
| Views | 2 |
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 | 15.16 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
4444
826.5 IPS |
|
|
Image Classification (Q)
|
99% |
9202
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4193
68.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18379
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
75143
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
4662
369.8 IPS |
|
|
Object Detection (Q)
|
86% |
5770
464.1 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
12030
142.9 IPS |
|
|
Face Detection (Q)
|
97% |
11726
139.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
972
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
19458
149.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
32860
312.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2606
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
693
0.89 IPS |
|
|
Style Transfer (Q)
|
30% |
414
6.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3013
111.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11039
407.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8197
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
132
176.1 IPS |
|
|
Text Classification (HP)
|
97% |
2175
2.91 KIPS |
|
|
Text Classification (Q)
|
73% |
2085
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
60% |
429
9.66 IPS |
