Samsung Galaxy S23 Ultra
Geekbench AI Score
850
Single Precision Score
738
Half Precision Score
1288
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gillydakid |
| Upload Date | January 08 2025 08:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918U |
| 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 | 6.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
789
146.7 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.3 IPS |
|
|
Image Classification (Q)
|
100% |
1195
222.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
520
8.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1131
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1421
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
2501
2.97 IPS |
|
|
Object Detection (SP)
|
98% |
696
55.4 IPS |
|
|
Object Detection (HP)
|
98% |
547
43.5 IPS |
|
|
Object Detection (Q)
|
83% |
981
79.2 IPS |
|
|
Face Detection (SP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.7 IPS |
|
|
Face Detection (Q)
|
95% |
2049
24.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1116
8.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
2255
20.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2840
3.69 IPS |
|
|
Style Transfer (HP)
|
89% |
2715
3.52 IPS |
|
|
Style Transfer (Q)
|
98% |
5454
7.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
683
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1193
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.1 IPS |
|
|
Text Classification (HP)
|
99% |
341
455.2 IPS |
|
|
Text Classification (Q)
|
88% |
580
782.7 IPS |
|
|
Machine Translation (SP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
50% |
218
7.72 IPS |
