Samsung Galaxy S23 Ultra
Geekbench AI Score
856
Single Precision Score
1133
Half Precision Score
1091
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Suhiel |
| Upload Date | March 02 2025 10:20 PM |
| Views | 10 |
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-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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
930
172.9 IPS |
|
|
Image Classification (Q)
|
96% |
694
129.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1350
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1402
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.2 IPS |
|
|
Object Detection (Q)
|
87% |
780
62.6 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2376
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
2587
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1492
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2847
22.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2352
21.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
8576
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8614
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (HP)
|
100% |
224
299.2 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.1 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
57% |
328
8.02 IPS |
