samsung SM-S921Q
Geekbench AI Score
2316
Single Precision Score
2317
Half Precision Score
3217
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2411
448.4 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.4 IPS |
|
|
Image Classification (Q)
|
100% |
3420
636.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4142
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4092
4.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
7496
8.89 IPS |
|
|
Object Detection (SP)
|
98% |
1414
112.5 IPS |
|
|
Object Detection (HP)
|
98% |
1604
127.6 IPS |
|
|
Object Detection (Q)
|
83% |
2090
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (Q)
|
95% |
5071
60.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3319
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3327
25.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5387
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8402
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8050
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14970
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3490
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
615
820.7 IPS |
|
|
Text Classification (HP)
|
99% |
644
859.0 IPS |
|
|
Text Classification (Q)
|
88% |
557
751.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1466
25.3 IPS |
|
|
Machine Translation (Q)
|
50% |
674
23.9 IPS |
