Samsung Galaxy S23 Ultra
Geekbench AI Score
1697
Single Precision Score
1710
Half Precision Score
2536
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 08:34 PM |
| Views | 4 |
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-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% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.8 IPS |
|
|
Image Classification (Q)
|
100% |
2783
517.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3126
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2867
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
5175
6.14 IPS |
|
|
Object Detection (SP)
|
98% |
1206
96.0 IPS |
|
|
Object Detection (HP)
|
98% |
1208
96.1 IPS |
|
|
Object Detection (Q)
|
83% |
1612
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2385
28.3 IPS |
|
|
Face Detection (Q)
|
95% |
3727
44.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2383
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2443
18.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3384
31.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5679
7.37 IPS |
|
|
Style Transfer (HP)
|
89% |
5615
7.29 IPS |
|
|
Style Transfer (Q)
|
98% |
10243
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2562
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
490
654.0 IPS |
|
|
Text Classification (HP)
|
99% |
491
655.6 IPS |
|
|
Text Classification (Q)
|
88% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
553
19.6 IPS |
