Samsung Galaxy S23 Ultra
Geekbench AI Score
863
Single Precision Score
752
Half Precision Score
1551
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | hArDsTyLe2259 |
| Upload Date | October 25 2025 04:44 AM |
| Views | 6 |
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% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.5 IPS |
|
|
Image Classification (Q)
|
100% |
1153
214.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1544
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1072
1.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3766
4.47 IPS |
|
|
Object Detection (SP)
|
98% |
529
42.1 IPS |
|
|
Object Detection (HP)
|
98% |
567
45.1 IPS |
|
|
Object Detection (Q)
|
83% |
1119
90.4 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
95% |
2592
30.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2815
25.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2873
3.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3013
3.91 IPS |
|
|
Style Transfer (Q)
|
98% |
7649
9.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1500
55.6 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.8 IPS |
|
|
Text Classification (HP)
|
99% |
256
341.7 IPS |
|
|
Text Classification (Q)
|
88% |
551
743.7 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
420
14.9 IPS |
