Samsung Galaxy S23 Ultra
Geekbench AI Score
833
Single Precision Score
1223
Half Precision Score
1210
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GuilhermeAlmeida7- |
| Upload Date | April 09 2025 10:17 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
656
122.0 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.7 IPS |
|
|
Image Classification (Q)
|
96% |
1052
196.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1877
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1424
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.9 IPS |
|
|
Object Detection (Q)
|
87% |
836
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (Q)
|
97% |
3292
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1347
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2406
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3855
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8710
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8217
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
351
12.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
370
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.2 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.2 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
57% |
322
7.87 IPS |
