Samsung Galaxy S23 Ultra
Geekbench AI Score
667
Single Precision Score
601
Half Precision Score
1256
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 10:37 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% |
607
112.8 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
100% |
1212
225.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1204
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1353
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
2458
2.92 IPS |
|
|
Object Detection (SP)
|
98% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
98% |
304
24.2 IPS |
|
|
Object Detection (Q)
|
83% |
851
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
961
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
1648
19.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1176
9.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
965
7.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
2294
21.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2015
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2362
3.07 IPS |
|
|
Style Transfer (Q)
|
98% |
5940
7.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
280
374.2 IPS |
|
|
Text Classification (HP)
|
99% |
233
310.5 IPS |
|
|
Text Classification (Q)
|
88% |
445
600.7 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.61 IPS |
