Samsung Galaxy S23 Ultra
Geekbench AI Score
2215
Single Precision Score
2201
Half Precision Score
3478
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 12:12 PM |
| Views | 1 |
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-S918N |
| 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% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
1846
343.3 IPS |
|
|
Image Classification (Q)
|
100% |
2406
447.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3234
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3049
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2996
3.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
6723
7.97 IPS |
|
|
Object Detection (SP)
|
98% |
1660
132.1 IPS |
|
|
Object Detection (HP)
|
98% |
1673
133.1 IPS |
|
|
Object Detection (Q)
|
83% |
2434
196.6 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
5824
69.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3249
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3236
25.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
5587
51.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7389
9.59 IPS |
|
|
Style Transfer (HP)
|
89% |
7363
9.56 IPS |
|
|
Style Transfer (Q)
|
98% |
14459
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3870
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
1426
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
50% |
785
27.9 IPS |
