Samsung Galaxy S23 Ultra
Geekbench AI Score
2029
Single Precision Score
2050
Half Precision Score
3254
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 04:30 PM |
| Views | 1 |
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-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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.1 IPS |
|
|
Image Classification (Q)
|
100% |
2600
483.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2864
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2580
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
6709
7.96 IPS |
|
|
Object Detection (SP)
|
98% |
1649
131.2 IPS |
|
|
Object Detection (HP)
|
98% |
1626
129.4 IPS |
|
|
Object Detection (Q)
|
83% |
2493
201.4 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (Q)
|
95% |
5785
69.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2926
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3070
23.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5389
49.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7083
9.19 IPS |
|
|
Style Transfer (HP)
|
89% |
7086
9.20 IPS |
|
|
Style Transfer (Q)
|
98% |
13260
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3781
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
1226
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
558
19.8 IPS |
