Samsung Galaxy S23 Ultra
Geekbench AI Score
2068
Single Precision Score
2057
Half Precision Score
3296
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 03:08 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U |
| 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% |
1800
334.7 IPS |
|
|
Image Classification (HP)
|
100% |
1750
325.5 IPS |
|
|
Image Classification (Q)
|
100% |
2831
526.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2906
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2667
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2780
3.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
5927
7.03 IPS |
|
|
Object Detection (SP)
|
98% |
1548
123.2 IPS |
|
|
Object Detection (HP)
|
98% |
1565
124.5 IPS |
|
|
Object Detection (Q)
|
83% |
2366
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (Q)
|
95% |
5377
64.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2797
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2841
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5137
47.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7047
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6786
8.81 IPS |
|
|
Style Transfer (Q)
|
98% |
13149
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3656
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1391
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (Q)
|
50% |
712
25.3 IPS |
