Samsung Galaxy S23 Ultra
Geekbench AI Score
1728
Single Precision Score
2761
Half Precision Score
2325
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | hArDsTyLe2259 |
| Upload Date | October 25 2025 04:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1085
201.7 IPS |
|
|
Image Classification (HP)
|
100% |
1548
287.9 IPS |
|
|
Image Classification (Q)
|
99% |
1408
262.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3852
62.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3080
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8068
9.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
15145
17.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
14647
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (HP)
|
99% |
1426
113.1 IPS |
|
|
Object Detection (Q)
|
82% |
1365
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
6349
75.4 IPS |
|
|
Face Detection (Q)
|
97% |
5804
69.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4323
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6216
48.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
5165
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10366
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22914
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22034
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3481
128.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3613
133.9 IPS |
|
|
Text Classification (SP)
|
35% |
46
451.4 IPS |
|
|
Text Classification (HP)
|
35% |
69
625.2 IPS |
|
|
Text Classification (Q)
|
35% |
64
628.1 IPS |
|
|
Machine Translation (SP)
|
100% |
763
13.2 IPS |
|
|
Machine Translation (HP)
|
97% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
49% |
349
13.1 IPS |
