Samsung Galaxy S24 Ultra
Geekbench AI Score
491
Single Precision Score
22584
Half Precision Score
51502
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 10 2025 05:52 PM |
| Views | 4 |
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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
18388
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
42149
7.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
11116
180.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31499
512.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
551
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
99560
116.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
399016
467.0 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
100% |
16574
1.31 KIPS |
|
|
Object Detection (Q)
|
86% |
20487
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
35634
423.4 IPS |
|
|
Face Detection (Q)
|
97% |
128388
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
64730
498.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
118410
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
1027
1.32 IPS |
|
|
Style Transfer (HP)
|
98% |
85453
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422235
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
313
11.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44458
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103548
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
390
520.7 IPS |
|
|
Text Classification (HP)
|
100% |
3108
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6864
9.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3759
64.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2652
69.5 IPS |
