Samsung Galaxy S23
Geekbench AI Score
2234
Single Precision Score
2311
Half Precision Score
3651
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:48 PM |
| Views | 2 |
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% |
1816
337.7 IPS |
|
|
Image Classification (HP)
|
100% |
1898
352.9 IPS |
|
|
Image Classification (Q)
|
100% |
2905
540.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3265
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (Q)
|
84% |
6700
7.95 IPS |
|
|
Object Detection (SP)
|
98% |
1731
137.8 IPS |
|
|
Object Detection (HP)
|
98% |
1799
143.2 IPS |
|
|
Object Detection (Q)
|
83% |
2654
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
3345
39.8 IPS |
|
|
Face Detection (Q)
|
95% |
6210
74.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3275
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3391
26.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5652
51.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7767
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7596
9.86 IPS |
|
|
Style Transfer (Q)
|
98% |
14945
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1751
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4096
151.8 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
99% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1420
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (Q)
|
50% |
820
29.1 IPS |
