Samsung Galaxy S23 Ultra
Geekbench AI Score
2020
Single Precision Score
1988
Half Precision Score
2991
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Qpal9099 |
| Upload Date | October 10 2024 04:18 AM |
| 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% |
1803
335.3 IPS |
|
|
Image Classification (HP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (Q)
|
100% |
2810
522.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2649
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3008
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6384
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1637
130.3 IPS |
|
|
Object Detection (HP)
|
98% |
1638
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
2409
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
4709
56.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3056
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3129
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4343
39.8 IPS |
|
|
Style Transfer (SP)
|
89% |
6439
8.36 IPS |
|
|
Style Transfer (HP)
|
89% |
6429
8.35 IPS |
|
|
Style Transfer (Q)
|
98% |
12117
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1410
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3077
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.0 IPS |
|
|
Text Classification (HP)
|
99% |
578
771.5 IPS |
|
|
Text Classification (Q)
|
88% |
981
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
670
23.8 IPS |
