Samsung Galaxy S23 Ultra
Geekbench AI Score
1991
Single Precision Score
1992
Half Precision Score
3219
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ATHENAxjdn |
| Upload Date | January 20 2026 08:24 AM |
| Views | 15 |
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-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% |
1622
301.7 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.7 IPS |
|
|
Image Classification (Q)
|
100% |
2621
487.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2922
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2695
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2661
3.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
6339
7.52 IPS |
|
|
Object Detection (SP)
|
98% |
1447
115.2 IPS |
|
|
Object Detection (HP)
|
98% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
83% |
2124
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2855
33.9 IPS |
|
|
Face Detection (Q)
|
95% |
5129
61.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2843
22.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4823
44.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6836
8.87 IPS |
|
|
Style Transfer (HP)
|
89% |
6792
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
13009
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1364
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3613
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1354
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
50% |
737
26.2 IPS |
