Samsung Galaxy S23 Ultra
Geekbench AI Score
1765
Single Precision Score
2857
Half Precision Score
2328
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | ATHENAxjdn |
| Upload Date | January 20 2026 08:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918N |
| 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% |
1024
190.4 IPS |
|
|
Image Classification (HP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (Q)
|
99% |
1469
274.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2254
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3754
60.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3290
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8303
9.69 IPS |
|
|
Pose Estimation (HP)
|
99% |
15163
17.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
15073
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
99% |
1605
127.3 IPS |
|
|
Object Detection (Q)
|
82% |
1491
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6314
75.0 IPS |
|
|
Face Detection (Q)
|
97% |
5106
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4297
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
6342
49.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
5047
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10984
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23298
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
22610
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2329
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3513
130.2 IPS |
|
|
Text Classification (SP)
|
35% |
47
456.0 IPS |
|
|
Text Classification (HP)
|
35% |
73
666.0 IPS |
|
|
Text Classification (Q)
|
35% |
63
611.8 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
97% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
49% |
335
12.6 IPS |
