Samsung Galaxy S24+
Geekbench AI Score
412
Single Precision Score
16163
Half Precision Score
38719
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 08:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
17918
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
43286
8.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
10960
177.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29346
477.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
100613
117.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
399264
467.3 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
16277
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
19114
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
585
6.95 IPS |
|
|
Face Detection (HP)
|
100% |
34776
413.2 IPS |
|
|
Face Detection (Q)
|
97% |
117386
1.40 KIPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
61352
472.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
113814
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
745
0.96 IPS |
|
|
Style Transfer (HP)
|
24% |
3846
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
304586
392.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44227
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104713
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
303
404.4 IPS |
|
|
Text Classification (HP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6741
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (Q)
|
30% |
272
54.6 IPS |
