Samsung Galaxy S24 Ultra
Geekbench AI Score
397
Single Precision Score
22045
Half Precision Score
49964
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Spiike |
| Upload Date | September 10 2025 11:54 AM |
| Views | 6 |
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-S928W |
| 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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
18285
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
42129
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
10991
178.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31453
511.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
100115
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397818
465.6 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
16175
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19965
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
563
6.69 IPS |
|
|
Face Detection (HP)
|
100% |
32218
382.8 IPS |
|
|
Face Detection (Q)
|
97% |
107875
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
473
3.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
63519
489.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
114647
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
766
0.99 IPS |
|
|
Style Transfer (HP)
|
98% |
85114
109.8 IPS |
|
|
Style Transfer (Q)
|
98% |
422248
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44152
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103583
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
322
430.1 IPS |
|
|
Text Classification (HP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6753
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2522
66.1 IPS |
