Samsung Galaxy S23 Ultra
Geekbench AI Score
1684
Single Precision Score
1632
Half Precision Score
2608
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:47 PM |
| Views | 2 |
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-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% |
1214
225.8 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (Q)
|
100% |
2333
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1501
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2318
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5721
6.79 IPS |
|
|
Object Detection (SP)
|
98% |
1347
107.2 IPS |
|
|
Object Detection (HP)
|
98% |
1359
108.1 IPS |
|
|
Object Detection (Q)
|
83% |
1899
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4235
50.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2671
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2697
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4387
40.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6178
8.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5593
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
10245
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2642
97.9 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.6 IPS |
|
|
Text Classification (HP)
|
99% |
358
478.3 IPS |
|
|
Text Classification (Q)
|
88% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
583
20.7 IPS |
