Samsung Galaxy S24 Ultra
Geekbench AI Score
2915
Single Precision Score
2850
Half Precision Score
4382
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 10:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
2472
459.6 IPS |
|
|
Image Classification (HP)
|
100% |
2491
463.2 IPS |
|
|
Image Classification (Q)
|
100% |
3553
660.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4181
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4584
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4392
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
10195
12.1 IPS |
|
|
Object Detection (SP)
|
98% |
2231
177.5 IPS |
|
|
Object Detection (HP)
|
98% |
2234
177.8 IPS |
|
|
Object Detection (Q)
|
83% |
3005
242.7 IPS |
|
|
Face Detection (SP)
|
100% |
4232
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (Q)
|
95% |
7670
91.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4133
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4009
31.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
6927
63.4 IPS |
|
|
Style Transfer (SP)
|
89% |
10665
13.8 IPS |
|
|
Style Transfer (HP)
|
89% |
10192
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20041
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5090
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
88% |
1493
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
709
25.2 IPS |
