samsung SM-X920
Geekbench AI Score
2137
Single Precision Score
2163
Half Precision Score
3022
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | SyderAkaris |
| Upload Date | October 09 2024 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1722
320.3 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (Q)
|
100% |
2637
490.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2831
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
4976
5.90 IPS |
|
|
Object Detection (SP)
|
98% |
1398
111.2 IPS |
|
|
Object Detection (HP)
|
98% |
1587
126.3 IPS |
|
|
Object Detection (Q)
|
83% |
2158
174.3 IPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (Q)
|
95% |
4882
58.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3361
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3289
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5117
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6967
9.04 IPS |
|
|
Style Transfer (HP)
|
89% |
7060
9.17 IPS |
|
|
Style Transfer (Q)
|
98% |
12436
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2729
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.1 IPS |
|
|
Text Classification (HP)
|
99% |
597
797.3 IPS |
|
|
Text Classification (Q)
|
88% |
1156
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1854
31.9 IPS |
|
|
Machine Translation (Q)
|
50% |
810
28.8 IPS |
