samsung SM-S921Q
Geekbench AI Score
425
Single Precision Score
22256
Half Precision Score
50972
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 23 2024 12:05 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
308
57.2 IPS |
|
|
Image Classification (HP)
|
100% |
18328
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
42765
7.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
10852
175.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
31353
509.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
100127
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
398058
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.5 IPS |
|
|
Object Detection (HP)
|
100% |
16197
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
20122
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (HP)
|
100% |
34234
406.8 IPS |
|
|
Face Detection (Q)
|
97% |
119295
1.42 KIPS |
|
|
Depth Estimation (SP)
|
100% |
537
4.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
63806
491.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
117121
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
819
1.05 IPS |
|
|
Style Transfer (HP)
|
98% |
85416
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
420927
542.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44247
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103960
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
353
470.6 IPS |
|
|
Text Classification (HP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6946
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (HP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2596
68.0 IPS |
