Samsung Galaxy S23 Ultra
Geekbench AI Score
1797
Single Precision Score
1805
Half Precision Score
2591
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | pangitone |
| Upload Date | August 25 2024 03:05 PM |
| Views | 5 |
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% |
1534
285.2 IPS |
|
|
Image Classification (HP)
|
100% |
1754
326.2 IPS |
|
|
Image Classification (Q)
|
100% |
2121
394.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2916
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2537
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (Q)
|
84% |
6184
7.33 IPS |
|
|
Object Detection (SP)
|
98% |
1655
131.7 IPS |
|
|
Object Detection (HP)
|
98% |
1662
132.3 IPS |
|
|
Object Detection (Q)
|
87% |
2307
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4955
59.2 IPS |
|
|
Depth Estimation (SP)
|
98% |
2492
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2385
18.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
4186
33.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5540
7.19 IPS |
|
|
Style Transfer (HP)
|
89% |
5511
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
10012
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2543
94.2 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.4 IPS |
|
|
Text Classification (HP)
|
99% |
521
694.8 IPS |
|
|
Text Classification (Q)
|
88% |
471
634.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
623
22.1 IPS |
