Samsung Galaxy S23 Ultra
Geekbench AI Score
948
Single Precision Score
1211
Half Precision Score
1199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 02:41 AM |
| Views | 13 |
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-S918U1 |
| 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% |
649
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
843
156.7 IPS |
|
|
Image Classification (Q)
|
96% |
684
127.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1497
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
87% |
848
68.1 IPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2610
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
2628
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1495
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2920
22.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2336
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3725
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
8523
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8590
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
388
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
438
585.3 IPS |
|
|
Text Classification (HP)
|
100% |
438
584.9 IPS |
|
|
Text Classification (Q)
|
91% |
682
917.3 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
57% |
486
11.9 IPS |
