Samsung Galaxy S24 Ultra
Geekbench AI Score
409
Single Precision Score
22217
Half Precision Score
50162
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 02:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
316
58.7 IPS |
|
|
Image Classification (HP)
|
100% |
18417
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
41784
7.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
10997
178.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31382
510.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
521
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100492
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398443
466.4 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
15491
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19393
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (HP)
|
100% |
33623
399.5 IPS |
|
|
Face Detection (Q)
|
97% |
108800
1.30 KIPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
64082
493.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
116637
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
799
1.03 IPS |
|
|
Style Transfer (HP)
|
98% |
85405
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422904
545.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
251
9.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44109
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103379
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
312
416.3 IPS |
|
|
Text Classification (HP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6836
9.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
550
9.48 IPS |
|
|
Machine Translation (HP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (Q)
|
55% |
2625
68.8 IPS |
