Samsung Galaxy S23 Ultra
Geekbench AI Score
1785
Single Precision Score
2808
Half Precision Score
2299
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 08:58 AM |
| Views | 5 |
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-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% |
1039
193.2 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.5 IPS |
|
|
Image Classification (Q)
|
99% |
1490
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3916
63.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3132
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8477
9.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
15425
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
15068
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
99% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
82% |
1394
112.9 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
97% |
5146
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4424
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6410
49.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
5140
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11018
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23511
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22186
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3558
131.9 IPS |
|
|
Text Classification (SP)
|
35% |
49
477.9 IPS |
|
|
Text Classification (HP)
|
35% |
82
741.2 IPS |
|
|
Text Classification (Q)
|
35% |
64
620.2 IPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
97% |
825
14.3 IPS |
|
|
Machine Translation (Q)
|
49% |
316
11.9 IPS |
