Samsung Galaxy S23 Ultra
Geekbench AI Score
268
Single Precision Score
16102
Half Precision Score
36329
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 08:00 PM |
| Views | 1 |
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% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
12569
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
32231
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
7493
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20965
340.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
291
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
73065
85.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
293813
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11936
946.8 IPS |
|
|
Object Detection (Q)
|
86% |
13395
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
459
5.45 IPS |
|
|
Face Detection (HP)
|
100% |
23832
283.2 IPS |
|
|
Face Detection (Q)
|
97% |
82529
984.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
44638
343.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
81069
759.1 IPS |
|
|
Style Transfer (SP)
|
100% |
681
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
60852
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293365
378.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32698
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
80002
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
176
234.3 IPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
55% |
1707
44.7 IPS |
