Samsung Galaxy S24 Ultra
Geekbench AI Score
444
Single Precision Score
22275
Half Precision Score
50902
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 05:00 PM |
| 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-S928U1 |
| 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% |
315
58.6 IPS |
|
|
Image Classification (HP)
|
100% |
18181
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
41667
7.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
11106
180.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31705
515.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
544
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
99953
116.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398813
466.8 IPS |
|
|
Object Detection (SP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (HP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20291
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
661
7.85 IPS |
|
|
Face Detection (HP)
|
100% |
35014
416.0 IPS |
|
|
Face Detection (Q)
|
97% |
122736
1.46 KIPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
64079
493.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
118010
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
876
1.13 IPS |
|
|
Style Transfer (HP)
|
98% |
85176
109.8 IPS |
|
|
Style Transfer (Q)
|
98% |
422589
544.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44167
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103171
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (HP)
|
100% |
3083
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6808
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2541
66.6 IPS |
