Samsung Galaxy S23 Ultra
Geekbench AI Score
1621
Single Precision Score
2597
Half Precision Score
1980
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:50 PM |
| Views | 3 |
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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
1680
312.4 IPS |
|
|
Image Classification (Q)
|
99% |
1336
249.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3041
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
14445
16.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
14136
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
931
73.9 IPS |
|
|
Object Detection (HP)
|
99% |
1276
101.2 IPS |
|
|
Object Detection (Q)
|
82% |
1177
95.3 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (Q)
|
97% |
4223
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4046
31.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5964
46.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
4736
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10198
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21523
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18164
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3014
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3149
116.7 IPS |
|
|
Text Classification (SP)
|
35% |
41
396.4 IPS |
|
|
Text Classification (HP)
|
35% |
76
688.1 IPS |
|
|
Text Classification (Q)
|
35% |
49
475.6 IPS |
|
|
Machine Translation (SP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (HP)
|
97% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
49% |
245
9.20 IPS |
