Samsung Galaxy S24 Ultra
Geekbench AI Score
406
Single Precision Score
22058
Half Precision Score
50233
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 08:03 AM |
| Views | 1 |
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% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
18112
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
41911
7.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
11052
179.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31482
511.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100094
116.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
397369
465.1 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
16165
1.28 KIPS |
|
|
Object Detection (Q)
|
86% |
20061
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (HP)
|
100% |
32853
390.4 IPS |
|
|
Face Detection (Q)
|
97% |
113677
1.36 KIPS |
|
|
Depth Estimation (SP)
|
100% |
478
3.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
63453
488.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
114258
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
763
0.98 IPS |
|
|
Style Transfer (HP)
|
98% |
85101
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
422879
545.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
268
9.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44162
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103489
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
314
419.6 IPS |
|
|
Text Classification (HP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6820
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2509
65.7 IPS |
