Samsung Galaxy S24 Ultra
Geekbench AI Score
304
Single Precision Score
21249
Half Precision Score
48430
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 11:11 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% |
250
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
40353
7.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
10670
173.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
30738
499.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
97996
114.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
393531
460.6 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
14854
1.18 KIPS |
|
|
Object Detection (Q)
|
86% |
18658
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
31211
370.9 IPS |
|
|
Face Detection (Q)
|
97% |
101847
1.21 KIPS |
|
|
Depth Estimation (SP)
|
100% |
362
2.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
60247
464.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
107632
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
595
0.76 IPS |
|
|
Style Transfer (HP)
|
98% |
84718
109.2 IPS |
|
|
Style Transfer (Q)
|
98% |
420267
541.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
190
7.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44143
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105678
3.92 KIPS |
|
|
Text Classification (SP)
|
100% |
237
316.4 IPS |
|
|
Text Classification (HP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6776
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (HP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2363
61.9 IPS |
