Samsung Galaxy S23 Ultra
Geekbench AI Score
916
Single Precision Score
781
Half Precision Score
1699
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | stan115 |
| Upload Date | November 04 2024 09:06 AM |
| Views | 7 |
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-S9180 |
| 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% |
877
163.1 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.1 IPS |
|
|
Image Classification (Q)
|
100% |
1497
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
459
7.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
1616
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
3623
4.30 IPS |
|
|
Object Detection (SP)
|
98% |
677
53.9 IPS |
|
|
Object Detection (HP)
|
98% |
417
33.2 IPS |
|
|
Object Detection (Q)
|
83% |
1152
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2390
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1276
9.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1617
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2793
25.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2691
3.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3040
3.95 IPS |
|
|
Style Transfer (Q)
|
98% |
6879
8.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1535
56.9 IPS |
|
|
Text Classification (SP)
|
100% |
326
434.6 IPS |
|
|
Text Classification (HP)
|
99% |
297
395.8 IPS |
|
|
Text Classification (Q)
|
88% |
676
912.3 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
