Samsung Galaxy S24 Ultra
Geekbench AI Score
457
Single Precision Score
443
Half Precision Score
997
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 08:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Samsung Galaxy S24 Ultra |
| Model ID | samsung SM-S928W |
| 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% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
770
143.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
492
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
419
0.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
1667
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
87% |
742
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
660
7.84 IPS |
|
|
Face Detection (HP)
|
100% |
645
7.66 IPS |
|
|
Face Detection (Q)
|
97% |
1455
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
585
4.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
562
4.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
1291
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
896
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
866
1.11 IPS |
|
|
Style Transfer (Q)
|
98% |
2152
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
322
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1037
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
387
517.0 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.8 IPS |
|
|
Text Classification (Q)
|
91% |
633
851.3 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
512
12.5 IPS |
