Samsung Galaxy S23 Ultra
Geekbench AI Score
984
Single Precision Score
926
Half Precision Score
1738
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | hArDsTyLe2259 |
| Upload Date | October 26 2025 02:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
100% |
1506
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1860
2.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
3038
3.60 IPS |
|
|
Object Detection (SP)
|
98% |
377
30.0 IPS |
|
|
Object Detection (HP)
|
98% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
83% |
1132
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1192
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (Q)
|
95% |
2737
32.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1339
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1325
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2656
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3603
4.68 IPS |
|
|
Style Transfer (HP)
|
89% |
3690
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6627
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1542
57.1 IPS |
|
|
Text Classification (SP)
|
100% |
414
553.2 IPS |
|
|
Text Classification (HP)
|
99% |
456
608.2 IPS |
|
|
Text Classification (Q)
|
88% |
808
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
484
17.2 IPS |
