Samsung Galaxy S23 Ultra
Geekbench AI Score
839
Single Precision Score
729
Half Precision Score
1317
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 12:45 AM |
| Views | 4 |
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% |
992
184.5 IPS |
|
|
Image Classification (HP)
|
100% |
535
99.5 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1645
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1624
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
2244
2.66 IPS |
|
|
Object Detection (SP)
|
98% |
520
41.4 IPS |
|
|
Object Detection (HP)
|
98% |
557
44.4 IPS |
|
|
Object Detection (Q)
|
83% |
1046
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
981
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
1650
19.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
819
6.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1714
15.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2392
3.10 IPS |
|
|
Style Transfer (HP)
|
89% |
1968
2.55 IPS |
|
|
Style Transfer (Q)
|
98% |
4481
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1242
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
99% |
346
462.0 IPS |
|
|
Text Classification (Q)
|
88% |
516
695.8 IPS |
|
|
Machine Translation (SP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
