Samsung Galaxy S23
Geekbench AI Score
1781
Single Precision Score
1852
Half Precision Score
2656
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gauravtab1 |
| Upload Date | December 18 2024 01:01 PM |
| Views | 12 |
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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.8 IPS |
|
|
Image Classification (Q)
|
100% |
2665
495.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2866
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2772
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2850
3.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
5565
6.60 IPS |
|
|
Object Detection (SP)
|
98% |
1290
102.7 IPS |
|
|
Object Detection (HP)
|
98% |
1292
102.8 IPS |
|
|
Object Detection (Q)
|
83% |
1809
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
2546
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
3961
47.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2696
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2746
21.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3372
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
6077
7.89 IPS |
|
|
Style Transfer (HP)
|
89% |
6120
7.94 IPS |
|
|
Style Transfer (Q)
|
98% |
11028
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1305
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2870
106.4 IPS |
|
|
Text Classification (SP)
|
100% |
572
764.1 IPS |
|
|
Text Classification (HP)
|
99% |
573
765.2 IPS |
|
|
Text Classification (Q)
|
88% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
50% |
609
21.6 IPS |
