Samsung Galaxy S23 Ultra
Geekbench AI Score
1698
Single Precision Score
2765
Half Precision Score
2245
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1029
191.3 IPS |
|
|
Image Classification (HP)
|
100% |
1609
299.2 IPS |
|
|
Image Classification (Q)
|
99% |
1420
264.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3847
62.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3075
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
14932
17.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
14698
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (HP)
|
99% |
1529
121.3 IPS |
|
|
Object Detection (Q)
|
82% |
1361
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
3583
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (Q)
|
97% |
5000
59.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4274
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6207
48.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
5010
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10340
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22808
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21934
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3521
130.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3632
134.6 IPS |
|
|
Text Classification (SP)
|
35% |
45
440.7 IPS |
|
|
Text Classification (HP)
|
35% |
69
627.4 IPS |
|
|
Text Classification (Q)
|
35% |
62
606.2 IPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
97% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
49% |
302
11.4 IPS |
