Samsung Galaxy S23 Ultra
Geekbench AI Score
2208
Single Precision Score
2202
Half Precision Score
3638
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Quiltermatt |
| Upload Date | August 23 2024 12:22 PM |
| Views | 6 |
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% |
1860
346.0 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
100% |
2991
556.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3111
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2806
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3082
3.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
6770
8.03 IPS |
|
|
Object Detection (SP)
|
98% |
1706
135.8 IPS |
|
|
Object Detection (HP)
|
98% |
1708
135.9 IPS |
|
|
Object Detection (Q)
|
87% |
2721
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (Q)
|
95% |
5844
69.8 IPS |
|
|
Depth Estimation (SP)
|
98% |
3288
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3138
24.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
6207
50.3 IPS |
|
|
Style Transfer (SP)
|
89% |
7411
9.62 IPS |
|
|
Style Transfer (HP)
|
89% |
7317
9.50 IPS |
|
|
Style Transfer (Q)
|
98% |
14538
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3844
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1403
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
835
29.6 IPS |
