Samsung Galaxy S24 Ultra
Geekbench AI Score
426
Single Precision Score
421
Half Precision Score
932
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:40 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
288
53.6 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
784
146.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
499
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
1676
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (Q)
|
87% |
669
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
97% |
1421
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
540
4.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
521
4.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
1168
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
785
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1939
2.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
334
445.3 IPS |
|
|
Text Classification (HP)
|
100% |
356
474.7 IPS |
|
|
Text Classification (Q)
|
91% |
574
771.1 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
57% |
439
10.7 IPS |
