samsung SM-X926B
Geekbench AI Score
2163
Single Precision Score
2224
Half Precision Score
3148
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X926B |
| Model ID | samsung SM-X926B |
| Motherboard | gts10u |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (Q)
|
100% |
2646
492.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2854
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3111
3.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
5581
6.62 IPS |
|
|
Object Detection (SP)
|
98% |
1280
101.9 IPS |
|
|
Object Detection (HP)
|
98% |
1374
109.3 IPS |
|
|
Object Detection (Q)
|
83% |
2062
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (Q)
|
95% |
5212
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3625
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3877
30.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5779
52.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7709
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7398
9.60 IPS |
|
|
Style Transfer (Q)
|
98% |
11973
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1443
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3000
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
657
876.7 IPS |
|
|
Text Classification (HP)
|
99% |
706
942.0 IPS |
|
|
Text Classification (Q)
|
88% |
1230
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
50% |
828
29.4 IPS |
