samsung SM-X920
Geekbench AI Score
1236
Single Precision Score
5199
Half Precision Score
4966
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 09 2024 12:18 AM |
| Views | 7 |
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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
4474
832.1 IPS |
|
|
Image Classification (Q)
|
99% |
9237
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1829
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9282
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18425
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75303
88.3 IPS |
|
|
Object Detection (SP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (HP)
|
100% |
4821
382.4 IPS |
|
|
Object Detection (Q)
|
86% |
5818
468.0 IPS |
|
|
Face Detection (SP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
12170
144.6 IPS |
|
|
Face Detection (Q)
|
97% |
11764
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
979
7.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
19513
150.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
33537
318.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2616
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
30% |
414
6.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3036
112.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11016
406.8 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
8239
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
135
180.2 IPS |
|
|
Text Classification (HP)
|
97% |
2194
2.94 KIPS |
|
|
Text Classification (Q)
|
73% |
2114
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (Q)
|
60% |
434
9.78 IPS |
