Samsung Galaxy S23
Geekbench AI Score
678
Single Precision Score
625
Half Precision Score
1269
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 05:49 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-S911N |
| 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% |
948
176.3 IPS |
|
|
Image Classification (HP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (Q)
|
100% |
1205
224.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
2368
2.81 IPS |
|
|
Object Detection (SP)
|
98% |
294
23.4 IPS |
|
|
Object Detection (HP)
|
98% |
435
34.7 IPS |
|
|
Object Detection (Q)
|
83% |
923
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
607
7.21 IPS |
|
|
Face Detection (Q)
|
95% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
873
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.26 IPS |
|
|
Depth Estimation (Q)
|
64% |
2027
18.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2211
2.87 IPS |
|
|
Style Transfer (HP)
|
89% |
2057
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4928
6.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
561
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1200
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (HP)
|
99% |
261
348.0 IPS |
|
|
Text Classification (Q)
|
88% |
463
624.0 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
