Samsung Galaxy S23 Ultra
Geekbench AI Score
1786
Single Precision Score
2790
Half Precision Score
2337
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 09 2025 09:38 PM |
| Views | 5 |
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% |
1042
193.8 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (Q)
|
99% |
1489
277.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3853
62.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3105
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8430
9.84 IPS |
|
|
Pose Estimation (HP)
|
99% |
15323
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
14976
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (HP)
|
99% |
1366
108.3 IPS |
|
|
Object Detection (Q)
|
82% |
1369
110.9 IPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6424
76.3 IPS |
|
|
Face Detection (Q)
|
97% |
5022
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4386
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6391
49.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
5109
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10985
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23600
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22247
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2381
87.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3632
134.6 IPS |
|
|
Text Classification (SP)
|
35% |
53
520.8 IPS |
|
|
Text Classification (HP)
|
35% |
71
644.9 IPS |
|
|
Text Classification (Q)
|
35% |
79
765.6 IPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
848
14.7 IPS |
|
|
Machine Translation (Q)
|
49% |
314
11.8 IPS |
