Samsung Galaxy S24 Ultra
Geekbench AI Score
393
Single Precision Score
15813
Half Precision Score
38017
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | blackzenowl |
| Upload Date | October 03 2024 12:15 AM |
| Views | 4 |
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 | 10.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
17475
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
41691
7.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
10720
173.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
29151
474.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
520
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
99231
115.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
396113
463.6 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
15193
1.21 KIPS |
|
|
Object Detection (Q)
|
86% |
18584
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
534
6.34 IPS |
|
|
Face Detection (HP)
|
100% |
32896
390.9 IPS |
|
|
Face Detection (Q)
|
97% |
112011
1.34 KIPS |
|
|
Depth Estimation (SP)
|
100% |
454
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
59906
461.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
110010
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
738
0.95 IPS |
|
|
Style Transfer (HP)
|
24% |
3844
116.3 IPS |
|
|
Style Transfer (Q)
|
98% |
304433
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
241
8.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44337
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104538
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
302
403.7 IPS |
|
|
Text Classification (HP)
|
100% |
3082
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6708
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (Q)
|
30% |
268
53.8 IPS |
