Samsung Galaxy S24 Ultra
Geekbench AI Score
421
Single Precision Score
22342
Half Precision Score
50698
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
315
58.6 IPS |
|
|
Image Classification (HP)
|
100% |
18104
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
41890
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
11002
178.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
31422
510.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100496
117.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
398052
465.9 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
16148
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
19909
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
34268
407.2 IPS |
|
|
Face Detection (Q)
|
97% |
117003
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
63984
493.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
117006
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
804
1.03 IPS |
|
|
Style Transfer (HP)
|
98% |
85401
110.1 IPS |
|
|
Style Transfer (Q)
|
98% |
422700
545.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44182
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103543
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
311
415.1 IPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6802
9.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2639
69.2 IPS |
