Samsung Galaxy S23 Ultra
Geekbench AI Score
824
Single Precision Score
766
Half Precision Score
1266
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:17 AM |
| Views | 8 |
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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
100% |
1080
200.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
2198
2.61 IPS |
|
|
Object Detection (SP)
|
98% |
506
40.3 IPS |
|
|
Object Detection (HP)
|
98% |
291
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
792
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
1451
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
723
8.59 IPS |
|
|
Face Detection (Q)
|
95% |
2091
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1334
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
869
6.71 IPS |
|
|
Depth Estimation (Q)
|
64% |
2021
18.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1999
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2806
3.64 IPS |
|
|
Style Transfer (Q)
|
98% |
5383
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
546
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
749
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1187
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
343
458.2 IPS |
|
|
Text Classification (HP)
|
99% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
88% |
533
718.7 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
385
13.7 IPS |
