Samsung Galaxy S24+
Geekbench AI Score
385
Single Precision Score
21911
Half Precision Score
49878
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 06:27 PM |
| Views | 2 |
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+ |
| Model ID | samsung SM-S926U1 |
| 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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
18333
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
42111
7.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
11008
178.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31550
513.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
99507
116.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
397517
465.3 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
15567
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
19372
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
516
6.14 IPS |
|
|
Face Detection (HP)
|
100% |
32185
382.4 IPS |
|
|
Face Detection (Q)
|
97% |
108272
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
63547
489.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
115251
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
744
0.96 IPS |
|
|
Style Transfer (HP)
|
98% |
85101
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
422669
545.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
243
8.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44120
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
103628
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
301
401.9 IPS |
|
|
Text Classification (HP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6812
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2502
65.5 IPS |
