Samsung Galaxy S23 Ultra
Geekbench AI Score
945
Single Precision Score
1328
Half Precision Score
1226
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | clove |
| Upload Date | February 13 2025 08:25 PM |
| Views | 7 |
| Notes | Phone |
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% |
660
122.7 IPS |
|
|
Image Classification (HP)
|
100% |
1091
202.9 IPS |
|
|
Image Classification (Q)
|
96% |
877
163.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1395
1.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1368
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (Q)
|
87% |
826
66.3 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (Q)
|
97% |
2726
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1460
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2859
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2300
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3773
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
8522
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8426
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
413
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
359
13.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
357
13.2 IPS |
|
|
Text Classification (SP)
|
100% |
451
602.0 IPS |
|
|
Text Classification (HP)
|
100% |
443
590.8 IPS |
|
|
Text Classification (Q)
|
91% |
686
922.0 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
491
12.0 IPS |
