Samsung Galaxy S23 Ultra
Geekbench AI Score
932
Single Precision Score
904
Half Precision Score
1557
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 05:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
970
180.3 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.5 IPS |
|
|
Image Classification (Q)
|
100% |
1422
264.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1724
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1852
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3215
3.81 IPS |
|
|
Object Detection (SP)
|
98% |
709
56.5 IPS |
|
|
Object Detection (HP)
|
98% |
660
52.5 IPS |
|
|
Object Detection (Q)
|
83% |
1206
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2711
32.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1600
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2181
20.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3377
4.38 IPS |
|
|
Style Transfer (HP)
|
89% |
2724
3.54 IPS |
|
|
Style Transfer (Q)
|
98% |
5250
6.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1239
45.9 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.0 IPS |
|
|
Text Classification (HP)
|
99% |
350
467.3 IPS |
|
|
Text Classification (Q)
|
88% |
553
746.1 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |
