Samsung Galaxy S23 Ultra
Geekbench AI Score
385
Single Precision Score
16298
Half Precision Score
36856
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | rpminihan |
| Upload Date | July 01 2025 01:13 PM |
| Views | 25 |
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-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 | 10.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (HP)
|
100% |
13195
2.45 KIPS |
|
|
Image Classification (Q)
|
97% |
32403
6.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
7800
126.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21895
356.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
469
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68876
80.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
292614
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
11845
939.6 IPS |
|
|
Object Detection (Q)
|
86% |
13531
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
514
6.10 IPS |
|
|
Face Detection (HP)
|
100% |
24062
285.9 IPS |
|
|
Face Detection (Q)
|
97% |
82409
982.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
453
3.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
44635
343.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
81663
764.7 IPS |
|
|
Style Transfer (SP)
|
100% |
759
0.98 IPS |
|
|
Style Transfer (HP)
|
98% |
60450
77.9 IPS |
|
|
Style Transfer (Q)
|
98% |
293952
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
254
9.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32708
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82243
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
314
419.3 IPS |
|
|
Text Classification (HP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (HP)
|
100% |
2929
50.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1809
47.4 IPS |
