Samsung Galaxy S24 Ultra
Geekbench AI Score
519
Single Precision Score
22739
Half Precision Score
51217
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 17 2025 12:40 AM |
| Views | 18 |
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% |
327
60.8 IPS |
|
|
Image Classification (HP)
|
100% |
18249
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
40491
7.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
11192
181.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31352
509.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
562
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
100746
117.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
398979
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (HP)
|
100% |
16590
1.32 KIPS |
|
|
Object Detection (Q)
|
86% |
20453
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
35820
425.6 IPS |
|
|
Face Detection (Q)
|
97% |
128909
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
64693
498.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
117411
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1062
1.37 IPS |
|
|
Style Transfer (HP)
|
98% |
85527
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
423102
545.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
353
13.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46118
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103610
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
445
594.0 IPS |
|
|
Text Classification (HP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6835
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2644
69.3 IPS |
