Samsung Galaxy S23 Ultra
Geekbench AI Score
749
Single Precision Score
630
Half Precision Score
1379
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 06:57 PM |
| Views | 2 |
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% |
941
175.0 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
100% |
1394
259.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1658
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3245
3.85 IPS |
|
|
Object Detection (SP)
|
98% |
639
50.9 IPS |
|
|
Object Detection (HP)
|
98% |
295
23.5 IPS |
|
|
Object Detection (Q)
|
83% |
959
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
670
7.96 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.46 IPS |
|
|
Face Detection (Q)
|
95% |
1992
23.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
895
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1872
17.1 IPS |
|
|
Style Transfer (SP)
|
89% |
2022
2.62 IPS |
|
|
Style Transfer (HP)
|
89% |
2157
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5124
6.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
575
21.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1197
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.2 IPS |
|
|
Text Classification (HP)
|
99% |
233
310.4 IPS |
|
|
Text Classification (Q)
|
88% |
456
614.6 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
