Samsung Galaxy S23 Ultra
Geekbench AI Score
856
Single Precision Score
1196
Half Precision Score
1194
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | linuxid10t |
| Upload Date | January 13 2025 12:25 AM |
| 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-S918U1 |
| 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% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
96% |
1045
195.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2067
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
982
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1438
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1410
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
100% |
727
57.7 IPS |
|
|
Object Detection (Q)
|
87% |
824
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2820
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1482
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2344
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3811
4.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8664
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8295
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
362
13.4 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.8 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.4 IPS |
|
|
Text Classification (Q)
|
91% |
372
500.3 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.82 IPS |
