Samsung Galaxy S24 Ultra
Geekbench AI Score
2530
Single Precision Score
2527
Half Precision Score
3669
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
1980
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (Q)
|
100% |
2822
524.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4262
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4290
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
8383
9.94 IPS |
|
|
Object Detection (SP)
|
98% |
1742
138.6 IPS |
|
|
Object Detection (HP)
|
98% |
1744
138.8 IPS |
|
|
Object Detection (Q)
|
83% |
2211
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (Q)
|
95% |
6229
74.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3930
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3528
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5386
49.3 IPS |
|
|
Style Transfer (SP)
|
89% |
8420
10.9 IPS |
|
|
Style Transfer (HP)
|
89% |
8488
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15909
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1693
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4041
149.7 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.6 IPS |
|
|
Text Classification (HP)
|
99% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
88% |
1215
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (Q)
|
50% |
758
26.9 IPS |
