Samsung Galaxy S23 Ultra
Geekbench AI Score
548
Single Precision Score
517
Half Precision Score
1125
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 09 2025 01:14 AM |
| Views | 1 |
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-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% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.4 IPS |
|
|
Image Classification (Q)
|
100% |
821
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1486
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
2200
2.61 IPS |
|
|
Object Detection (SP)
|
98% |
260
20.7 IPS |
|
|
Object Detection (HP)
|
98% |
300
23.9 IPS |
|
|
Object Detection (Q)
|
83% |
763
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (Q)
|
95% |
1521
18.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
867
6.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
794
6.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
2168
19.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1878
2.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1878
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4795
6.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1117
41.4 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.6 IPS |
|
|
Text Classification (HP)
|
99% |
247
329.5 IPS |
|
|
Text Classification (Q)
|
88% |
425
573.8 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.79 IPS |
