Samsung Galaxy S23 Ultra
Geekbench AI Score
215
Single Precision Score
11598
Half Precision Score
26984
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:09 PM |
| Views | 1 |
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-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% |
142
26.4 IPS |
|
|
Image Classification (HP)
|
100% |
12511
2.33 KIPS |
|
|
Image Classification (Q)
|
97% |
31243
5.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
7381
119.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19677
320.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
238
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
71211
83.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
292867
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
125
9.93 IPS |
|
|
Object Detection (HP)
|
100% |
11461
909.1 IPS |
|
|
Object Detection (Q)
|
86% |
12303
989.3 IPS |
|
|
Face Detection (SP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
22730
270.1 IPS |
|
|
Face Detection (Q)
|
97% |
72572
865.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
275
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
42316
326.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
79336
742.9 IPS |
|
|
Style Transfer (SP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (HP)
|
24% |
2960
89.5 IPS |
|
|
Style Transfer (Q)
|
98% |
220452
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31671
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
75969
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (HP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5354
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
300
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
2638
45.4 IPS |
|
|
Machine Translation (Q)
|
30% |
179
36.0 IPS |
