Samsung Galaxy S23 Ultra
Geekbench AI Score
1879
Single Precision Score
1695
Half Precision Score
2738
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 11 2025 05:57 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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.3 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (Q)
|
100% |
2465
458.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2870
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2606
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
6144
7.29 IPS |
|
|
Object Detection (SP)
|
98% |
1493
118.8 IPS |
|
|
Object Detection (HP)
|
98% |
1503
119.6 IPS |
|
|
Object Detection (Q)
|
83% |
2061
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
4666
55.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2910
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2810
21.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3030
27.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6182
8.02 IPS |
|
|
Style Transfer (HP)
|
89% |
6270
8.14 IPS |
|
|
Style Transfer (Q)
|
98% |
11934
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2858
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.6 IPS |
|
|
Text Classification (HP)
|
99% |
570
760.9 IPS |
|
|
Text Classification (Q)
|
88% |
892
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
50% |
616
21.9 IPS |
