Samsung Galaxy S24 Ultra
Geekbench AI Score
504
Single Precision Score
16180
Half Precision Score
39139
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 05 2024 12:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
17371
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
41137
7.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
10727
173.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29082
472.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
534
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
100396
117.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
398842
466.8 IPS |
|
|
Object Detection (SP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
16125
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19399
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
743
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
35717
424.4 IPS |
|
|
Face Detection (Q)
|
97% |
128250
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
650
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
60932
469.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
114582
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
1028
1.32 IPS |
|
|
Style Transfer (HP)
|
24% |
3857
116.7 IPS |
|
|
Style Transfer (Q)
|
98% |
305835
394.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
350
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44366
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105066
3.89 KIPS |
|
|
Text Classification (SP)
|
100% |
451
602.6 IPS |
|
|
Text Classification (HP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6773
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
30% |
285
57.3 IPS |
