samsung SM-S921Q
Geekbench AI Score
2170
Single Precision Score
3373
Half Precision Score
2621
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S921Q |
| Model ID | samsung SM-S921Q |
| 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 | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.6 IPS |
|
|
Image Classification (Q)
|
100% |
1828
340.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4865
78.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3911
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11203
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
20370
23.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19264
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (HP)
|
99% |
1754
139.2 IPS |
|
|
Object Detection (Q)
|
87% |
1665
133.7 IPS |
|
|
Face Detection (SP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7095
84.3 IPS |
|
|
Face Detection (Q)
|
97% |
7105
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5947
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8516
65.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
6488
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14157
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30250
38.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27009
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2851
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4578
169.7 IPS |
|
|
Text Classification (SP)
|
35% |
49
479.6 IPS |
|
|
Text Classification (HP)
|
35% |
67
604.8 IPS |
|
|
Text Classification (Q)
|
33% |
45
546.3 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
97% |
964
16.7 IPS |
|
|
Machine Translation (Q)
|
43% |
261
14.8 IPS |
