samsung SM-S921Q
Geekbench AI Score
2858
Single Precision Score
2920
Half Precision Score
4612
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 23 2024 11:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
2499
464.8 IPS |
|
|
Image Classification (Q)
|
100% |
3389
630.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4130
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4261
4.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
9856
11.7 IPS |
|
|
Object Detection (SP)
|
98% |
2002
159.3 IPS |
|
|
Object Detection (HP)
|
98% |
2179
173.4 IPS |
|
|
Object Detection (Q)
|
83% |
3530
285.2 IPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (Q)
|
95% |
7774
92.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4228
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4143
32.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
7526
68.9 IPS |
|
|
Style Transfer (SP)
|
89% |
10178
13.2 IPS |
|
|
Style Transfer (HP)
|
89% |
10138
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20692
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5227
193.7 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
99% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
88% |
1512
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1773
30.5 IPS |
|
|
Machine Translation (Q)
|
50% |
935
33.2 IPS |
