Samsung Galaxy S23 Ultra
Geekbench AI Score
1050
Single Precision Score
1433
Half Precision Score
1790
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 05 2026 07:57 AM |
| Views | 6 |
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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.2 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.8 IPS |
|
|
Image Classification (Q)
|
99% |
1394
260.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1761
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1809
2.11 IPS |
|
|
Pose Estimation (HP)
|
92% |
3718
4.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
3818
4.47 IPS |
|
|
Object Detection (SP)
|
98% |
373
29.7 IPS |
|
|
Object Detection (HP)
|
97% |
501
39.9 IPS |
|
|
Object Detection (Q)
|
85% |
1308
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
2122
25.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
1686
13.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2894
22.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2425
22.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3708
4.81 IPS |
|
|
Style Transfer (HP)
|
88% |
4546
5.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6975
8.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1663
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1561
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.0 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (Q)
|
93% |
802
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1034
17.9 IPS |
|
|
Machine Translation (Q)
|
55% |
614
16.5 IPS |
