Samsung Galaxy S23 Ultra
Geekbench AI Score
796
Single Precision Score
690
Half Precision Score
1385
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 02 2025 10:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
100% |
1484
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2071
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1393
1.63 IPS |
|
|
Pose Estimation (Q)
|
84% |
2884
3.42 IPS |
|
|
Object Detection (SP)
|
98% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
98% |
348
27.7 IPS |
|
|
Object Detection (Q)
|
83% |
946
76.4 IPS |
|
|
Face Detection (SP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
1483
17.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1057
8.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2309
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2740
3.56 IPS |
|
|
Style Transfer (HP)
|
89% |
2260
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6516
8.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1208
44.8 IPS |
|
|
Text Classification (SP)
|
100% |
233
311.4 IPS |
|
|
Text Classification (HP)
|
99% |
231
308.5 IPS |
|
|
Text Classification (Q)
|
88% |
462
623.1 IPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
