samsung SM-S921Q
Geekbench AI Score
413
Single Precision Score
22304
Half Precision Score
50611
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 02 2025 05:28 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% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
18496
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
42191
7.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
10969
177.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31324
509.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
100451
117.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
398476
466.4 IPS |
|
|
Object Detection (SP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
16136
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19912
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
540
6.42 IPS |
|
|
Face Detection (HP)
|
100% |
33689
400.3 IPS |
|
|
Face Detection (Q)
|
97% |
113758
1.36 KIPS |
|
|
Depth Estimation (SP)
|
100% |
511
3.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
63840
491.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
116666
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (HP)
|
98% |
85001
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
422421
544.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44205
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103582
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
335
446.5 IPS |
|
|
Text Classification (HP)
|
100% |
3105
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6839
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2648
69.4 IPS |
