Samsung Galaxy S23 Ultra
Geekbench AI Score
1770
Single Precision Score
2786
Half Precision Score
2257
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | dad |
| Upload Date | March 05 2026 08:01 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-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% |
1028
191.1 IPS |
|
|
Image Classification (HP)
|
100% |
1519
282.5 IPS |
|
|
Image Classification (Q)
|
99% |
1402
261.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3920
63.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3114
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8444
9.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
15333
17.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
15117
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
99% |
1437
114.0 IPS |
|
|
Object Detection (Q)
|
82% |
1365
110.5 IPS |
|
|
Face Detection (SP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6336
75.3 IPS |
|
|
Face Detection (Q)
|
97% |
5012
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4390
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6424
49.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
5176
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11150
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23379
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22948
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2333
86.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3544
131.3 IPS |
|
|
Text Classification (SP)
|
35% |
47
461.0 IPS |
|
|
Text Classification (HP)
|
35% |
69
626.9 IPS |
|
|
Text Classification (Q)
|
35% |
63
610.5 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
97% |
818
14.1 IPS |
|
|
Machine Translation (Q)
|
49% |
287
10.8 IPS |
