Samsung Galaxy S23 Ultra
Geekbench AI Score
265
Single Precision Score
263
Half Precision Score
596
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 01:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
416
77.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
442
7.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
288
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
98% |
1089
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
450
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
833
9.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
325
2.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
779
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
600
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1608
2.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
161
5.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
161
5.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.9 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
91% |
373
501.7 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
57% |
290
7.08 IPS |
