Samsung Galaxy S24 Ultra
Geekbench AI Score
362
Single Precision Score
21935
Half Precision Score
49855
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Android AArch64
Result Information
| Upload Date | September 02 2025 05:24 PM |
| Views | 3 |
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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
16968
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
41232
7.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
10840
175.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29611
481.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
100097
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397621
465.4 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
15739
1.25 KIPS |
|
|
Object Detection (Q)
|
86% |
19490
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
559
6.64 IPS |
|
|
Face Detection (HP)
|
100% |
32537
386.6 IPS |
|
|
Face Detection (Q)
|
97% |
110028
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
471
3.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
63655
490.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
115409
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
743
0.96 IPS |
|
|
Style Transfer (HP)
|
98% |
84844
109.4 IPS |
|
|
Style Transfer (Q)
|
98% |
422264
544.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44040
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103110
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
303
404.1 IPS |
|
|
Text Classification (HP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6856
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (Q)
|
55% |
2645
69.3 IPS |
