Samsung Galaxy S23 Ultra
Geekbench AI Score
698
Single Precision Score
601
Half Precision Score
1191
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Syed_Faiz001 |
| Upload Date | August 16 2024 08:29 AM |
| Views | 8 |
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-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% |
403
75.0 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
100% |
1103
205.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1392
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
3240
3.84 IPS |
|
|
Object Detection (SP)
|
98% |
291
23.2 IPS |
|
|
Object Detection (HP)
|
98% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
87% |
1019
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (Q)
|
95% |
1601
19.1 IPS |
|
|
Depth Estimation (SP)
|
98% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
971
7.50 IPS |
|
|
Depth Estimation (Q)
|
75% |
1930
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2146
2.79 IPS |
|
|
Style Transfer (HP)
|
89% |
2008
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
4433
5.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1155
42.8 IPS |
|
|
Text Classification (SP)
|
100% |
276
368.2 IPS |
|
|
Text Classification (HP)
|
99% |
230
307.1 IPS |
|
|
Text Classification (Q)
|
88% |
344
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (HP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (Q)
|
50% |
293
10.4 IPS |
