Samsung Galaxy S23 Ultra
Geekbench AI Score
837
Single Precision Score
1088
Half Precision Score
1081
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:52 PM |
| Views | 3 |
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-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% |
662
123.0 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
96% |
818
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1442
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1432
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
87% |
834
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1505
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2876
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2365
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3861
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8319
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8229
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.8 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.3 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.6 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.96 IPS |
