Samsung Galaxy S23 Ultra
Geekbench AI Score
279
Single Precision Score
279
Half Precision Score
635
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ATHENAxjdn |
| Upload Date | January 20 2026 08:46 AM |
| Views | 9 |
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-S918N |
| 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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
412
76.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1088
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
450
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.34 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.31 IPS |
|
|
Face Detection (Q)
|
97% |
942
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
879
7.97 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
674
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1902
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
183
6.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
632
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.6 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.0 IPS |
|
|
Text Classification (Q)
|
91% |
373
500.9 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.95 IPS |
