Samsung Galaxy S23 Ultra
Geekbench AI Score
1722
Single Precision Score
1700
Half Precision Score
2505
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 11 2024 09:31 AM |
| 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-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% |
1725
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.1 IPS |
|
|
Image Classification (Q)
|
100% |
2510
466.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2762
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5159
6.12 IPS |
|
|
Object Detection (SP)
|
98% |
1177
93.6 IPS |
|
|
Object Detection (HP)
|
98% |
1197
95.3 IPS |
|
|
Object Detection (Q)
|
83% |
1679
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (Q)
|
95% |
3212
38.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2390
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3859
35.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5655
7.34 IPS |
|
|
Style Transfer (HP)
|
89% |
5657
7.34 IPS |
|
|
Style Transfer (Q)
|
98% |
10303
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2656
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.3 IPS |
|
|
Text Classification (HP)
|
99% |
530
708.0 IPS |
|
|
Text Classification (Q)
|
88% |
831
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
