Samsung Galaxy S24 Ultra
Geekbench AI Score
2213
Single Precision Score
3496
Half Precision Score
2805
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 03:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928N |
| 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% |
1333
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
100% |
2359
438.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5033
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4253
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11019
12.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
20442
23.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
20083
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
1875
148.8 IPS |
|
|
Object Detection (Q)
|
87% |
1806
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
7472
88.8 IPS |
|
|
Face Detection (Q)
|
97% |
6072
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8559
66.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6457
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14056
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30808
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30201
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3124
115.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4873
180.6 IPS |
|
|
Text Classification (SP)
|
35% |
52
503.7 IPS |
|
|
Text Classification (HP)
|
35% |
74
675.7 IPS |
|
|
Text Classification (Q)
|
33% |
55
666.1 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
97% |
943
16.3 IPS |
|
|
Machine Translation (Q)
|
43% |
262
14.9 IPS |
