Samsung Galaxy S24 Ultra
Geekbench AI Score
1994
Single Precision Score
2953
Half Precision Score
2323
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 08:50 PM |
| Views | 3 |
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-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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.6 IPS |
|
|
Image Classification (Q)
|
100% |
1814
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5064
82.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4088
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11117
13.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
20030
23.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16325
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
99% |
1595
126.5 IPS |
|
|
Object Detection (Q)
|
87% |
1485
119.3 IPS |
|
|
Face Detection (SP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
97% |
5458
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8491
65.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
6389
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14048
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21234
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20837
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2138
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3912
144.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3451
127.9 IPS |
|
|
Text Classification (SP)
|
35% |
35
344.4 IPS |
|
|
Text Classification (HP)
|
35% |
46
416.1 IPS |
|
|
Text Classification (Q)
|
33% |
48
572.7 IPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
97% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
43% |
212
12.1 IPS |
