samsung SM-S928Q
Geekbench AI Score
2825
Single Precision Score
2817
Half Precision Score
4225
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-S928Q |
| Model ID | samsung SM-S928Q |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.2 IPS |
|
|
Image Classification (Q)
|
100% |
3076
572.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4381
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4852
5.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
9925
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
2068
164.6 IPS |
|
|
Object Detection (HP)
|
98% |
1834
145.9 IPS |
|
|
Object Detection (Q)
|
83% |
2621
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (Q)
|
95% |
6700
80.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4296
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4485
34.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
7932
72.6 IPS |
|
|
Style Transfer (SP)
|
89% |
10731
13.9 IPS |
|
|
Style Transfer (HP)
|
89% |
10790
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21170
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2064
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2058
76.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4722
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
1141
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1756
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (Q)
|
50% |
854
30.3 IPS |
