samsung SM-S921B
Geekbench AI Score
664
Single Precision Score
1152
Half Precision Score
938
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 10:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S921B |
| Model ID | samsung SM-S921B |
| Motherboard | s5e9925 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.82 GHz |
| Cluster 1 | 4 Cores @ 1.82 GHz |
| Cluster 2 | 3 Cores @ 2.52 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.10 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
100% |
616
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1047
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3050
3.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
5926
6.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
6406
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
99% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
85% |
452
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
1325
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
1921
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1673
12.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2914
22.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
2133
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5853
7.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10414
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
10154
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1585
58.7 IPS |
|
|
Text Classification (SP)
|
29% |
14
247.1 IPS |
|
|
Text Classification (HP)
|
35% |
33
299.3 IPS |
|
|
Text Classification (Q)
|
33% |
25
278.4 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
48% |
173
6.66 IPS |
