Samsung Galaxy S23
Geekbench AI Score
903
Single Precision Score
1027
Half Precision Score
1811
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 14 2025 06:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
100% |
1650
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1915
2.23 IPS |
|
|
Pose Estimation (Q)
|
84% |
3777
4.48 IPS |
|
|
Object Detection (SP)
|
98% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
98% |
723
57.5 IPS |
|
|
Object Detection (Q)
|
83% |
1195
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2758
32.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1496
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1540
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2333
21.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3635
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
3728
4.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6989
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1550
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (HP)
|
99% |
456
609.0 IPS |
|
|
Text Classification (Q)
|
88% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
521
18.5 IPS |
