Samsung Galaxy S23 Ultra
Geekbench AI Score
1843
Single Precision Score
1982
Half Precision Score
3155
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 03:05 AM |
| Views | 2 |
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% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
1547
287.7 IPS |
|
|
Image Classification (Q)
|
100% |
2418
449.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2715
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2629
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2754
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6140
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
1561
124.2 IPS |
|
|
Object Detection (HP)
|
98% |
1557
123.9 IPS |
|
|
Object Detection (Q)
|
83% |
2277
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (Q)
|
95% |
5555
66.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3048
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2893
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4817
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6633
8.61 IPS |
|
|
Style Transfer (HP)
|
89% |
6805
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
13008
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3376
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
712
950.9 IPS |
|
|
Text Classification (Q)
|
88% |
1297
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
50% |
699
24.8 IPS |
