Samsung Galaxy S23 Ultra
Geekbench AI Score
819
Single Precision Score
1125
Half Precision Score
1029
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 10:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
96% |
791
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1057
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
1413
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (Q)
|
87% |
834
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (Q)
|
97% |
1686
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1474
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2802
21.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2277
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3857
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8474
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
8396
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
368
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.8 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.2 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.2 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.53 IPS |
