Samsung Galaxy S23 Ultra
Geekbench AI Score
403
Single Precision Score
16464
Half Precision Score
37188
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 06 2025 04:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
271
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
12924
2.40 KIPS |
|
|
Image Classification (Q)
|
97% |
32509
6.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
321
5.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
7760
125.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21878
355.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
450
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
71271
83.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
294734
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
12206
968.2 IPS |
|
|
Object Detection (Q)
|
86% |
13859
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
575
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
25034
297.5 IPS |
|
|
Face Detection (Q)
|
97% |
85207
1.02 KIPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
45100
347.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
82314
770.8 IPS |
|
|
Style Transfer (SP)
|
100% |
832
1.07 IPS |
|
|
Style Transfer (HP)
|
98% |
60506
78.0 IPS |
|
|
Style Transfer (Q)
|
98% |
294775
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32710
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82233
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
336
448.5 IPS |
|
|
Text Classification (HP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
55% |
1815
47.6 IPS |
