Samsung Galaxy S23
Geekbench AI Score
764
Single Precision Score
784
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 05 2025 06:20 AM |
| Views | 5 |
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-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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.3 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
100% |
1127
209.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2816
3.34 IPS |
|
|
Object Detection (SP)
|
98% |
564
44.9 IPS |
|
|
Object Detection (HP)
|
98% |
556
44.3 IPS |
|
|
Object Detection (Q)
|
83% |
863
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
1793
21.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1204
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
1172
9.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
2023
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1991
2.58 IPS |
|
|
Style Transfer (HP)
|
89% |
2905
3.77 IPS |
|
|
Style Transfer (Q)
|
98% |
5909
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1484
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.0 IPS |
|
|
Text Classification (HP)
|
99% |
246
327.8 IPS |
|
|
Text Classification (Q)
|
88% |
567
764.5 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
