Samsung Galaxy S23 Ultra
Geekbench AI Score
267
Single Precision Score
269
Half Precision Score
611
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | HarryN1pz |
| Upload Date | August 02 2025 04:46 PM |
| Views | 7 |
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-S918U |
| 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 | 6.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.2 IPS |
|
|
Image Classification (Q)
|
99% |
418
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
444
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1065
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
87% |
454
36.4 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.38 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.40 IPS |
|
|
Face Detection (Q)
|
97% |
947
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
356
2.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
854
7.75 IPS |
|
|
Style Transfer (SP)
|
100% |
543
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
576
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1700
2.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.3 IPS |
|
|
Text Classification (HP)
|
100% |
209
278.4 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.6 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.54 IPS |
