Samsung Galaxy S23 Ultra
Geekbench AI Score
973
Single Precision Score
930
Half Precision Score
1700
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 06:57 PM |
| Views | 3 |
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% |
876
162.9 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
100% |
1379
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1498
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1738
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1633
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
3482
4.13 IPS |
|
|
Object Detection (SP)
|
98% |
665
52.9 IPS |
|
|
Object Detection (HP)
|
98% |
678
54.0 IPS |
|
|
Object Detection (Q)
|
83% |
1189
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1163
13.8 IPS |
|
|
Face Detection (Q)
|
95% |
2573
30.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1599
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
2989
27.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3437
4.46 IPS |
|
|
Style Transfer (HP)
|
89% |
3486
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
5551
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
777
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1816
67.3 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.4 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.7 IPS |
|
|
Text Classification (Q)
|
88% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
50% |
406
14.4 IPS |
