Samsung Galaxy S23 Ultra
Geekbench AI Score
923
Single Precision Score
819
Half Precision Score
1467
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 14 2025 03:58 PM |
| Views | 6 |
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-S918N |
| 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% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
100% |
1230
228.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1269
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1765
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
2907
3.45 IPS |
|
|
Object Detection (SP)
|
98% |
561
44.6 IPS |
|
|
Object Detection (HP)
|
98% |
562
44.7 IPS |
|
|
Object Detection (Q)
|
83% |
1026
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
2114
25.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1362
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
857
6.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
2489
22.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2831
3.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2912
3.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6296
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
754
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1486
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
349
465.9 IPS |
|
|
Text Classification (HP)
|
99% |
316
422.1 IPS |
|
|
Text Classification (Q)
|
88% |
501
675.1 IPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
