Samsung Galaxy S23 Ultra
Geekbench AI Score
1532
Single Precision Score
2458
Half Precision Score
1981
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 08:25 AM |
| 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-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% |
1066
198.2 IPS |
|
|
Image Classification (HP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (Q)
|
99% |
1414
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4149
67.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3818
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
15376
18.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
15033
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
99% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
82% |
1099
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
5920
70.3 IPS |
|
|
Face Detection (Q)
|
97% |
4096
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3411
26.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6483
50.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
5129
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10770
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18055
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17048
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2356
87.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2429
90.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
308.4 IPS |
|
|
Text Classification (HP)
|
35% |
49
443.8 IPS |
|
|
Text Classification (Q)
|
35% |
46
444.7 IPS |
|
|
Machine Translation (SP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (HP)
|
97% |
755
13.1 IPS |
|
|
Machine Translation (Q)
|
49% |
261
9.82 IPS |
