Samsung Galaxy S23 Ultra
Geekbench AI Score
2018
Single Precision Score
1996
Half Precision Score
3083
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 20 2025 12:39 PM |
| Views | 3 |
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 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (HP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (Q)
|
100% |
2743
510.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2955
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2848
3.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
6291
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1632
129.9 IPS |
|
|
Object Detection (HP)
|
98% |
1555
123.8 IPS |
|
|
Object Detection (Q)
|
83% |
2217
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (Q)
|
95% |
4642
55.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2899
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2891
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4633
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6851
8.89 IPS |
|
|
Style Transfer (HP)
|
89% |
6741
8.75 IPS |
|
|
Style Transfer (Q)
|
98% |
13039
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1493
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3335
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
667
889.9 IPS |
|
|
Text Classification (HP)
|
99% |
616
821.9 IPS |
|
|
Text Classification (Q)
|
88% |
1051
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
50% |
700
24.9 IPS |
