Samsung Galaxy S23 Ultra
Geekbench AI Score
792
Single Precision Score
1082
Half Precision Score
1034
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 10 2025 11:52 AM |
| Views | 2 |
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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (Q)
|
96% |
763
142.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1424
1.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
1398
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
786
62.4 IPS |
|
|
Object Detection (Q)
|
87% |
854
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (Q)
|
97% |
2456
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1462
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2659
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2194
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3826
4.92 IPS |
|
|
Style Transfer (HP)
|
100% |
8688
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8447
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
343
12.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
341
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (Q)
|
91% |
293
394.0 IPS |
|
|
Machine Translation (SP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
57% |
258
6.31 IPS |
