Samsung Galaxy S23 Ultra
Geekbench AI Score
1726
Single Precision Score
1731
Half Precision Score
2536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:08 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% |
1641
305.3 IPS |
|
|
Image Classification (HP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (Q)
|
100% |
2492
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2563
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2555
2.98 IPS |
|
|
Pose Estimation (Q)
|
84% |
5560
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1291
102.7 IPS |
|
|
Object Detection (HP)
|
98% |
1285
102.2 IPS |
|
|
Object Detection (Q)
|
83% |
1801
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2511
29.8 IPS |
|
|
Face Detection (Q)
|
95% |
3573
42.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2570
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3627
33.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5663
7.35 IPS |
|
|
Style Transfer (HP)
|
89% |
5716
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
10404
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1209
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2652
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.3 IPS |
|
|
Text Classification (HP)
|
99% |
497
663.9 IPS |
|
|
Text Classification (Q)
|
88% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
50% |
574
20.4 IPS |
