Samsung Galaxy S24
Geekbench AI Score
397
Single Precision Score
16064
Half Precision Score
38608
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | matus201 |
| Upload Date | October 07 2024 11:42 PM |
| Views | 16 |
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-S921W |
| 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 | 6.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
17447
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
43136
8.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
10804
175.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
29116
473.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
501
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
99924
116.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
395565
463.0 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
15459
1.23 KIPS |
|
|
Object Detection (Q)
|
86% |
18473
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
513
6.10 IPS |
|
|
Face Detection (HP)
|
100% |
34397
408.7 IPS |
|
|
Face Detection (Q)
|
97% |
116212
1.39 KIPS |
|
|
Depth Estimation (SP)
|
100% |
500
3.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
61711
475.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
115652
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
756
0.97 IPS |
|
|
Style Transfer (HP)
|
24% |
3853
116.6 IPS |
|
|
Style Transfer (Q)
|
98% |
305598
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44290
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104659
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
333
444.0 IPS |
|
|
Text Classification (HP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6639
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (Q)
|
30% |
281
56.5 IPS |
