Samsung Galaxy S23 Ultra
Geekbench AI Score
765
Single Precision Score
637
Half Precision Score
1331
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2026 09:18 AM |
| Views | 4 |
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-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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
540
100.4 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.4 IPS |
|
|
Image Classification (Q)
|
100% |
1344
250.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1331
1.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
2233
2.65 IPS |
|
|
Object Detection (SP)
|
98% |
504
40.1 IPS |
|
|
Object Detection (HP)
|
98% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
83% |
933
75.4 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
1687
20.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
879
6.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1104
8.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
1760
16.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2376
3.08 IPS |
|
|
Style Transfer (HP)
|
89% |
2858
3.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4948
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1483
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (HP)
|
99% |
238
318.3 IPS |
|
|
Text Classification (Q)
|
88% |
471
635.1 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.02 IPS |
|
|
Machine Translation (Q)
|
50% |
353
12.5 IPS |
