Samsung Galaxy S24 Ultra
Geekbench AI Score
381
Single Precision Score
21521
Half Precision Score
48945
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Beamish |
| Upload Date | October 28 2025 06:24 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
301
56.0 IPS |
|
|
Image Classification (HP)
|
100% |
17680
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
39696
7.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
10725
173.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
30969
503.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
445
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
99151
115.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
396629
464.2 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
15206
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
19299
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
31886
378.9 IPS |
|
|
Face Detection (Q)
|
97% |
106832
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
60451
465.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
108271
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
733
0.94 IPS |
|
|
Style Transfer (HP)
|
98% |
84931
109.5 IPS |
|
|
Style Transfer (Q)
|
98% |
420871
542.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.23 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44068
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103224
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
301
401.3 IPS |
|
|
Text Classification (HP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6770
9.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (HP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (Q)
|
55% |
2465
64.6 IPS |
