Samsung Galaxy S24+
Geekbench AI Score
370
Single Precision Score
21627
Half Precision Score
49131
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 13 2025 03:33 PM |
| Views | 3 |
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-S9260 |
| 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% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
17824
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
39218
7.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
10758
174.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31287
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
99413
116.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
396724
464.3 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
15247
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
19267
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
507
6.03 IPS |
|
|
Face Detection (HP)
|
100% |
31836
378.3 IPS |
|
|
Face Detection (Q)
|
97% |
106640
1.27 KIPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
61687
475.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
109451
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
734
0.94 IPS |
|
|
Style Transfer (HP)
|
98% |
85037
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
421766
543.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44034
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104312
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (HP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6823
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (HP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2494
65.4 IPS |
