Samsung Galaxy S24 Ultra
Geekbench AI Score
352
Single Precision Score
15811
Half Precision Score
37958
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 06:43 AM |
| Views | 2 |
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 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 | 10.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (HP)
|
100% |
17552
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
43372
8.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
10834
175.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
29212
475.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
99840
116.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
396668
464.3 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
15387
1.22 KIPS |
|
|
Object Detection (Q)
|
86% |
18311
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (HP)
|
100% |
32113
381.6 IPS |
|
|
Face Detection (Q)
|
97% |
107910
1.29 KIPS |
|
|
Depth Estimation (SP)
|
100% |
406
3.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
60706
467.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
112554
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
670
0.86 IPS |
|
|
Style Transfer (HP)
|
24% |
3841
116.2 IPS |
|
|
Style Transfer (Q)
|
98% |
303349
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44065
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104117
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
269
358.9 IPS |
|
|
Text Classification (HP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6664
8.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (HP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (Q)
|
30% |
264
53.1 IPS |
