Samsung Galaxy S23 Ultra
Geekbench AI Score
888
Single Precision Score
814
Half Precision Score
1399
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 07:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
905
168.2 IPS |
|
|
Image Classification (HP)
|
100% |
661
123.0 IPS |
|
|
Image Classification (Q)
|
100% |
1353
251.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1544
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
2739
3.25 IPS |
|
|
Object Detection (SP)
|
98% |
447
35.6 IPS |
|
|
Object Detection (HP)
|
98% |
560
44.6 IPS |
|
|
Object Detection (Q)
|
83% |
918
74.2 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2132
25.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1353
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2270
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3280
4.26 IPS |
|
|
Style Transfer (HP)
|
89% |
2883
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
4507
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1483
54.9 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.2 IPS |
|
|
Text Classification (HP)
|
99% |
251
335.1 IPS |
|
|
Text Classification (Q)
|
88% |
511
689.0 IPS |
|
|
Machine Translation (SP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
