Samsung Galaxy S23 Ultra
Geekbench AI Score
279
Single Precision Score
280
Half Precision Score
637
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 11:07 AM |
| Views | 1 |
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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
414
77.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1094
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
451
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.35 IPS |
|
|
Face Detection (HP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (Q)
|
97% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
377
2.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
378
2.92 IPS |
|
|
Depth Estimation (Q)
|
64% |
884
8.02 IPS |
|
|
Style Transfer (SP)
|
100% |
675
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
676
0.87 IPS |
|
|
Style Transfer (Q)
|
98% |
1894
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
182
6.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.6 IPS |
|
|
Text Classification (HP)
|
100% |
224
298.4 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.0 IPS |
|
|
Machine Translation (SP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
57% |
325
7.94 IPS |
