Samsung Galaxy S23 Ultra
Geekbench AI Score
459
Single Precision Score
12420
Half Precision Score
29066
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Cho_Seung_Woo |
| Upload Date | September 30 2024 10:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S23 Ultra |
| Model ID | samsung SM-S918N |
| 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% |
299
55.6 IPS |
|
|
Image Classification (HP)
|
100% |
13959
2.60 KIPS |
|
|
Image Classification (Q)
|
97% |
32940
6.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
7957
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20680
336.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
72669
84.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
296450
347.0 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
12541
994.7 IPS |
|
|
Object Detection (Q)
|
86% |
13587
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
676
8.04 IPS |
|
|
Face Detection (HP)
|
100% |
26087
310.0 IPS |
|
|
Face Detection (Q)
|
97% |
92963
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
595
4.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
43853
337.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
83812
784.8 IPS |
|
|
Style Transfer (SP)
|
100% |
962
1.24 IPS |
|
|
Style Transfer (HP)
|
24% |
2993
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
223071
287.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
312
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32776
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
83094
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
388
518.5 IPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (Q)
|
30% |
200
40.1 IPS |
