Samsung Galaxy S23
Geekbench AI Score
756
Single Precision Score
646
Half Precision Score
1287
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 11:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 |
| Model ID | samsung SM-S911B |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.36 GHz |
| Memory Information | |
|---|---|
| Size | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
692
128.8 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
100% |
1418
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
1535
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1490
1.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
2595
3.08 IPS |
|
|
Object Detection (SP)
|
98% |
319
25.4 IPS |
|
|
Object Detection (HP)
|
98% |
293
23.4 IPS |
|
|
Object Detection (Q)
|
83% |
794
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1737
20.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1098
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
813
6.28 IPS |
|
|
Depth Estimation (Q)
|
64% |
2036
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2707
3.51 IPS |
|
|
Style Transfer (HP)
|
89% |
2658
3.45 IPS |
|
|
Style Transfer (Q)
|
98% |
4596
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.7 IPS |
|
|
Text Classification (HP)
|
99% |
234
312.5 IPS |
|
|
Text Classification (Q)
|
88% |
442
595.6 IPS |
|
|
Machine Translation (SP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
328
11.6 IPS |
