Samsung Galaxy S23 Ultra
Geekbench AI Score
1716
Single Precision Score
2858
Half Precision Score
2191
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 03:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U1 |
| 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% |
1043
194.1 IPS |
|
|
Image Classification (HP)
|
100% |
1542
286.8 IPS |
|
|
Image Classification (Q)
|
99% |
1399
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3840
62.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3124
50.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8426
9.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
15320
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
14355
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
948
75.2 IPS |
|
|
Object Detection (HP)
|
99% |
1496
118.6 IPS |
|
|
Object Detection (Q)
|
82% |
1352
109.5 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7081
84.1 IPS |
|
|
Face Detection (Q)
|
97% |
5020
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4362
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6409
49.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
5227
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10900
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23378
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21844
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2182
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3503
129.8 IPS |
|
|
Text Classification (SP)
|
35% |
43
420.6 IPS |
|
|
Text Classification (HP)
|
35% |
60
542.9 IPS |
|
|
Text Classification (Q)
|
35% |
50
485.0 IPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
97% |
1264
21.9 IPS |
|
|
Machine Translation (Q)
|
49% |
300
11.3 IPS |
