Samsung Galaxy S23 Ultra
Geekbench AI Score
394
Single Precision Score
396
Half Precision Score
832
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Leomotors |
| Upload Date | August 19 2024 07:18 AM |
| Views | 6 |
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-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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
97% |
683
127.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
470
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
420
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1580
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (Q)
|
89% |
594
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (Q)
|
97% |
1145
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
512
3.94 IPS |
|
|
Depth Estimation (HP)
|
100% |
514
3.96 IPS |
|
|
Depth Estimation (Q)
|
73% |
1260
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
752
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1836
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
254
9.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
808
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.4 IPS |
|
|
Text Classification (Q)
|
91% |
455
611.9 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.68 IPS |
