Samsung Galaxy S24 Ultra
Geekbench AI Score
2272
Single Precision Score
3495
Half Precision Score
2744
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Krashkource |
| Upload Date | February 02 2026 06:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U1 |
| 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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
100% |
2026
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4917
79.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4152
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11321
13.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
20565
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19834
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
99% |
2083
165.3 IPS |
|
|
Object Detection (Q)
|
87% |
1774
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (Q)
|
97% |
6006
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8566
66.2 IPS |
|
|
Depth Estimation (Q)
|
61% |
6522
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14554
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30086
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29641
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2986
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5076
188.1 IPS |
|
|
Text Classification (SP)
|
35% |
53
515.5 IPS |
|
|
Text Classification (HP)
|
35% |
69
629.5 IPS |
|
|
Text Classification (Q)
|
33% |
55
661.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
97% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
43% |
253
14.4 IPS |
