Samsung Galaxy S24 Ultra
Geekbench AI Score
422
Single Precision Score
22327
Half Precision Score
50644
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 01:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
18422
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
42048
7.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
11045
179.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31500
512.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
523
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100456
117.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
399083
467.1 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
16226
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
20205
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
604
7.17 IPS |
|
|
Face Detection (HP)
|
100% |
33877
402.5 IPS |
|
|
Face Detection (Q)
|
97% |
114250
1.36 KIPS |
|
|
Depth Estimation (SP)
|
100% |
524
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
64128
494.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
117047
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
809
1.04 IPS |
|
|
Style Transfer (HP)
|
98% |
84965
109.6 IPS |
|
|
Style Transfer (Q)
|
98% |
422332
544.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
295
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44227
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103663
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
301
402.1 IPS |
|
|
Text Classification (HP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6747
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2631
68.9 IPS |
