Samsung Galaxy S24 Ultra
Geekbench AI Score
412
Single Precision Score
22017
Half Precision Score
49972
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 01:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
100% |
18403
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
40019
7.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
10840
175.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31341
509.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
517
0.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
100164
116.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
398205
466.1 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
15420
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
19566
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (HP)
|
100% |
32270
383.4 IPS |
|
|
Face Detection (Q)
|
97% |
109805
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
497
3.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
63228
487.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
114843
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
780
1.00 IPS |
|
|
Style Transfer (HP)
|
98% |
85357
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422742
545.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44211
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103392
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
323
430.5 IPS |
|
|
Text Classification (HP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6893
9.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
3656
63.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2616
68.5 IPS |
