Samsung Galaxy S23 Ultra
Geekbench AI Score
1767
Single Precision Score
2779
Half Precision Score
2275
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Ghaith |
| Upload Date | December 06 2025 07:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918N |
| 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% |
1090
202.6 IPS |
|
|
Image Classification (HP)
|
100% |
1615
300.4 IPS |
|
|
Image Classification (Q)
|
99% |
1473
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3082
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8400
9.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
15339
18.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
15043
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (HP)
|
99% |
1454
115.3 IPS |
|
|
Object Detection (Q)
|
82% |
1358
110.0 IPS |
|
|
Face Detection (SP)
|
100% |
3731
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6323
75.1 IPS |
|
|
Face Detection (Q)
|
97% |
5375
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4393
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6386
49.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
5114
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10942
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23430
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22299
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3590
132.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3648
135.2 IPS |
|
|
Text Classification (SP)
|
35% |
45
435.9 IPS |
|
|
Text Classification (HP)
|
35% |
69
625.3 IPS |
|
|
Text Classification (Q)
|
35% |
62
605.9 IPS |
|
|
Machine Translation (SP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (HP)
|
97% |
843
14.6 IPS |
|
|
Machine Translation (Q)
|
49% |
290
10.9 IPS |
