Samsung Galaxy S24 Ultra
Geekbench AI Score
396
Single Precision Score
22069
Half Precision Score
49971
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | December 10 2024 12:09 AM |
| Views | 2 |
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% |
295
54.9 IPS |
|
|
Image Classification (HP)
|
100% |
17856
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
40476
7.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
10709
173.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
30911
502.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
100051
116.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397558
465.3 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
16007
1.27 KIPS |
|
|
Object Detection (Q)
|
86% |
19939
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (HP)
|
100% |
34057
404.7 IPS |
|
|
Face Detection (Q)
|
97% |
116056
1.38 KIPS |
|
|
Depth Estimation (SP)
|
100% |
501
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
63233
487.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
108478
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
98% |
85025
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
420984
542.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44271
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103981
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6934
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (HP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2562
67.1 IPS |
