Samsung Galaxy S24 Ultra
Geekbench AI Score
443
Single Precision Score
22441
Half Precision Score
51251
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | PC2025 |
| Upload Date | January 13 2025 12:37 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-S928W |
| 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% |
322
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
18035
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
42858
8.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
11079
179.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31489
512.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
553
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
100578
117.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
398712
466.7 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
16343
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20144
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
34855
414.2 IPS |
|
|
Face Detection (Q)
|
97% |
121430
1.45 KIPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
64215
494.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
117534
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
899
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
85495
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422285
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
267
9.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44370
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104610
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
342
456.4 IPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6895
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (HP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2654
69.5 IPS |
