Samsung Galaxy S23 Ultra
Geekbench AI Score
782
Single Precision Score
747
Half Precision Score
1295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 10:01 PM |
| Views | 1 |
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-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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.4 IPS |
|
|
Image Classification (Q)
|
100% |
1069
198.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
1135
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1449
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
2232
2.65 IPS |
|
|
Object Detection (SP)
|
98% |
543
43.2 IPS |
|
|
Object Detection (HP)
|
98% |
554
44.1 IPS |
|
|
Object Detection (Q)
|
83% |
1036
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
969
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
1900
22.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
880
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2011
18.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2859
3.71 IPS |
|
|
Style Transfer (HP)
|
89% |
2937
3.81 IPS |
|
|
Style Transfer (Q)
|
98% |
4478
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1468
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.9 IPS |
|
|
Text Classification (HP)
|
99% |
345
460.3 IPS |
|
|
Text Classification (Q)
|
88% |
580
782.3 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
