Samsung Galaxy S23 Ultra
Geekbench AI Score
1737
Single Precision Score
2747
Half Precision Score
2232
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Physicist |
| Upload Date | July 19 2025 12:48 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1027
191.0 IPS |
|
|
Image Classification (HP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (Q)
|
99% |
1386
258.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3121
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8441
9.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
15287
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
15095
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1008
79.9 IPS |
|
|
Object Detection (HP)
|
99% |
1496
118.7 IPS |
|
|
Object Detection (Q)
|
82% |
1359
110.1 IPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6429
76.4 IPS |
|
|
Face Detection (Q)
|
97% |
4969
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4406
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6397
49.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
5122
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10909
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23324
30.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21762
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3523
130.5 IPS |
|
|
Text Classification (SP)
|
35% |
44
431.7 IPS |
|
|
Text Classification (HP)
|
35% |
69
625.6 IPS |
|
|
Text Classification (Q)
|
35% |
62
601.2 IPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
97% |
822
14.2 IPS |
|
|
Machine Translation (Q)
|
49% |
286
10.8 IPS |
