Samsung Galaxy S23 Ultra
Geekbench AI Score
947
Single Precision Score
1329
Half Precision Score
1296
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 05:33 PM |
| Views | 2 |
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% |
667
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
1097
204.0 IPS |
|
|
Image Classification (Q)
|
96% |
801
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1820
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2103
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1415
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
750
59.5 IPS |
|
|
Object Detection (Q)
|
87% |
855
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (Q)
|
97% |
2697
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1513
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2870
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2364
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3856
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8785
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8149
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
394
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
372
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
443
590.8 IPS |
|
|
Text Classification (HP)
|
100% |
447
596.7 IPS |
|
|
Text Classification (Q)
|
91% |
683
918.6 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
57% |
499
12.2 IPS |
