Samsung Galaxy S23 Ultra
Geekbench AI Score
895
Single Precision Score
840
Half Precision Score
1446
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 07:58 PM |
| Views | 1 |
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 Ultra |
| Model ID | samsung SM-S918B |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1077
200.3 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
100% |
1602
297.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
484
7.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1716
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1107
1.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2968
3.52 IPS |
|
|
Object Detection (SP)
|
98% |
564
44.8 IPS |
|
|
Object Detection (HP)
|
98% |
640
51.0 IPS |
|
|
Object Detection (Q)
|
83% |
983
79.4 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2129
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1205
9.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1373
10.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
2016
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2860
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2873
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
4470
5.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
668
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1489
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
336
449.0 IPS |
|
|
Text Classification (HP)
|
99% |
347
463.4 IPS |
|
|
Text Classification (Q)
|
88% |
524
706.6 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
333
11.8 IPS |
