Samsung Galaxy S24 Ultra
Geekbench AI Score
526
Single Precision Score
16519
Half Precision Score
39600
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Arkan14 |
| Upload Date | October 05 2024 07:38 AM |
| Views | 6 |
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% |
325
60.5 IPS |
|
|
Image Classification (HP)
|
100% |
18272
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
43095
8.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
11051
179.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29387
477.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
564
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
100754
117.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
399408
467.5 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
16479
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
19422
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (HP)
|
100% |
36058
428.4 IPS |
|
|
Face Detection (Q)
|
97% |
128765
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
679
5.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
62212
479.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
117661
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1067
1.37 IPS |
|
|
Style Transfer (HP)
|
24% |
3864
116.9 IPS |
|
|
Style Transfer (Q)
|
98% |
306048
394.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45014
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105328
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
460
614.6 IPS |
|
|
Text Classification (HP)
|
100% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6769
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (Q)
|
30% |
292
58.6 IPS |
