samsung SM-S928Q
Geekbench AI Score
2264
Single Precision Score
2224
Half Precision Score
3205
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 06:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (Q)
|
100% |
2303
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2262
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3506
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4021
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
7470
8.86 IPS |
|
|
Object Detection (SP)
|
98% |
1578
125.6 IPS |
|
|
Object Detection (HP)
|
98% |
1557
123.9 IPS |
|
|
Object Detection (Q)
|
83% |
2116
171.0 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4918
58.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3103
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3196
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5203
47.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7920
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
7924
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14980
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3712
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.4 IPS |
|
|
Text Classification (HP)
|
99% |
684
912.8 IPS |
|
|
Text Classification (Q)
|
88% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
50% |
652
23.1 IPS |
