Samsung Galaxy S23 Ultra
Geekbench AI Score
442
Single Precision Score
444
Half Precision Score
945
Quantized Score
Geekbench AI 1.6.0 Corporate for Android AArch64
Result Information
| Upload Date | December 02 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918W |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.7 IPS |
|
|
Image Classification (Q)
|
99% |
661
123.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (Q)
|
98% |
1874
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
87% |
714
57.3 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
1329
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
578
4.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
547
4.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
1228
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
897
1.15 IPS |
|
|
Style Transfer (Q)
|
98% |
2050
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
388
518.4 IPS |
|
|
Text Classification (HP)
|
100% |
408
544.8 IPS |
|
|
Text Classification (Q)
|
91% |
591
793.7 IPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
458
11.2 IPS |
