Samsung Galaxy S23 Ultra
Geekbench AI Score
457
Single Precision Score
16524
Half Precision Score
37406
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 08:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (HP)
|
100% |
13243
2.46 KIPS |
|
|
Image Classification (Q)
|
97% |
32291
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
7739
125.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21665
352.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
72015
84.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
295564
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
12298
975.5 IPS |
|
|
Object Detection (Q)
|
86% |
13975
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
671
7.97 IPS |
|
|
Face Detection (HP)
|
100% |
25315
300.8 IPS |
|
|
Face Detection (Q)
|
97% |
89517
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
575
4.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
45065
347.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
82498
772.5 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
98% |
59953
77.3 IPS |
|
|
Style Transfer (Q)
|
98% |
294322
379.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32686
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82220
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
413
551.6 IPS |
|
|
Text Classification (HP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5648
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (Q)
|
55% |
1839
48.2 IPS |
