Samsung Galaxy S23 Ultra
Geekbench AI Score
404
Single Precision Score
402
Half Precision Score
849
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 03 2026 08:44 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.7 IPS |
|
|
Image Classification (Q)
|
99% |
677
126.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
714
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
460
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
442
0.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
1548
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (Q)
|
87% |
589
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
572
6.79 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (Q)
|
97% |
1158
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
510
3.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1137
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
836
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
839
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
2002
2.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
919
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
335
447.3 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.3 IPS |
|
|
Text Classification (Q)
|
91% |
484
651.0 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
57% |
377
9.21 IPS |
