Samsung Galaxy S23 Ultra
Geekbench AI Score
221
Single Precision Score
222
Half Precision Score
514
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 12:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U1 |
| 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% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
168
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
348
5.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
866
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.93 IPS |
|
|
Object Detection (HP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (Q)
|
87% |
358
28.7 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.28 IPS |
|
|
Face Detection (Q)
|
97% |
743
8.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
703
6.38 IPS |
|
|
Style Transfer (SP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1521
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.5 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.4 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (Q)
|
57% |
261
6.38 IPS |
