Samsung Galaxy S23 Ultra
Geekbench AI Score
1774
Single Precision Score
1780
Half Precision Score
2647
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | 19jet54 |
| Upload Date | July 22 2025 02:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1753
326.0 IPS |
|
|
Image Classification (HP)
|
100% |
1769
328.9 IPS |
|
|
Image Classification (Q)
|
100% |
2566
477.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2840
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2665
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2737
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5559
6.59 IPS |
|
|
Object Detection (SP)
|
98% |
1294
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
1299
103.4 IPS |
|
|
Object Detection (Q)
|
83% |
1798
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (Q)
|
95% |
3471
41.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2545
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2363
18.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4132
37.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6021
7.82 IPS |
|
|
Style Transfer (HP)
|
89% |
6019
7.81 IPS |
|
|
Style Transfer (Q)
|
98% |
11192
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2837
105.1 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.7 IPS |
|
|
Text Classification (HP)
|
99% |
530
707.4 IPS |
|
|
Text Classification (Q)
|
88% |
896
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
