Samsung Galaxy S23 Ultra
Geekbench AI Score
1582
Single Precision Score
1555
Half Precision Score
2314
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 04:11 PM |
| Views | 1 |
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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
1602
297.9 IPS |
|
|
Image Classification (Q)
|
100% |
2546
473.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2655
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2581
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2466
2.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
4712
5.59 IPS |
|
|
Object Detection (SP)
|
98% |
1022
81.4 IPS |
|
|
Object Detection (HP)
|
98% |
1062
84.5 IPS |
|
|
Object Detection (Q)
|
83% |
1527
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
95% |
2731
32.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1936
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1960
15.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3362
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5031
6.53 IPS |
|
|
Style Transfer (HP)
|
89% |
5215
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
9532
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2431
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.4 IPS |
|
|
Text Classification (HP)
|
99% |
488
651.0 IPS |
|
|
Text Classification (Q)
|
88% |
763
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
