Samsung Galaxy S23 Ultra
Geekbench AI Score
1830
Single Precision Score
1790
Half Precision Score
2835
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 10:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.4 IPS |
|
|
Image Classification (Q)
|
100% |
1838
341.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2596
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2312
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5476
6.49 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1403
111.6 IPS |
|
|
Object Detection (Q)
|
83% |
2069
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (Q)
|
95% |
4812
57.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2641
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2575
19.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4450
40.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6116
7.94 IPS |
|
|
Style Transfer (HP)
|
89% |
5928
7.70 IPS |
|
|
Style Transfer (Q)
|
98% |
12000
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3063
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.7 IPS |
|
|
Text Classification (HP)
|
99% |
656
875.9 IPS |
|
|
Text Classification (Q)
|
88% |
1242
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
636
22.6 IPS |
