Samsung Galaxy S23 Ultra
Geekbench AI Score
2040
Single Precision Score
2083
Half Precision Score
3253
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 04:32 AM |
| Views | 2 |
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-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% |
1673
311.2 IPS |
|
|
Image Classification (HP)
|
100% |
1898
353.0 IPS |
|
|
Image Classification (Q)
|
100% |
2832
526.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3051
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2829
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6424
7.62 IPS |
|
|
Object Detection (SP)
|
98% |
1521
121.0 IPS |
|
|
Object Detection (HP)
|
98% |
1520
120.9 IPS |
|
|
Object Detection (Q)
|
83% |
2316
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
5481
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3042
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2944
22.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4736
43.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7017
9.11 IPS |
|
|
Style Transfer (HP)
|
89% |
7028
9.12 IPS |
|
|
Style Transfer (Q)
|
98% |
13507
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1463
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3517
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
1072
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
782
27.8 IPS |
