Samsung Galaxy S23 Ultra
Geekbench AI Score
435
Single Precision Score
437
Half Precision Score
925
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:46 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918W |
| 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% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
97% |
654
122.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
684
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
465
0.54 IPS |
|
|
Pose Estimation (Q)
|
98% |
1737
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
89% |
650
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
625
7.42 IPS |
|
|
Face Detection (HP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (Q)
|
97% |
1288
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
552
4.25 IPS |
|
|
Depth Estimation (HP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (Q)
|
73% |
1401
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
900
1.16 IPS |
|
|
Style Transfer (Q)
|
98% |
2095
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
293
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1022
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.0 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.8 IPS |
|
|
Text Classification (Q)
|
91% |
564
757.9 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
421
10.3 IPS |
