Samsung Galaxy S23 Ultra
Geekbench AI Score
2049
Single Precision Score
2493
Half Precision Score
3551
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | garyphayes |
| Upload Date | April 07 2026 01:58 PM |
| Views | 10 |
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% |
1831
340.5 IPS |
|
|
Image Classification (HP)
|
100% |
1468
273.0 IPS |
|
|
Image Classification (Q)
|
99% |
2822
526.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3016
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
92% |
5534
6.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
6643
7.78 IPS |
|
|
Object Detection (SP)
|
98% |
1467
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
1171
93.2 IPS |
|
|
Object Detection (Q)
|
85% |
2315
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
5621
67.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2703
20.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4761
36.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5270
48.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6819
8.85 IPS |
|
|
Style Transfer (HP)
|
88% |
7007
9.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13494
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2627
97.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3818
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
724
965.7 IPS |
|
|
Text Classification (HP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1479
25.6 IPS |
|
|
Machine Translation (Q)
|
55% |
1103
29.6 IPS |
