samsung SM-S921Q
Geekbench AI Score
458
Single Precision Score
22347
Half Precision Score
50656
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
314
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
18081
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
41952
7.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
10930
177.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31447
511.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
504
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
100426
117.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
398262
466.1 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
16131
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19998
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
587
6.97 IPS |
|
|
Face Detection (HP)
|
100% |
33849
402.2 IPS |
|
|
Face Detection (Q)
|
97% |
115257
1.37 KIPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
64120
494.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
117180
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
918
1.18 IPS |
|
|
Style Transfer (HP)
|
98% |
85489
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422457
544.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
326
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45001
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103646
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
406
541.6 IPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6790
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2637
69.1 IPS |
