Samsung Galaxy S24 Ultra
Geekbench AI Score
523
Single Precision Score
22420
Half Precision Score
50978
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 21 2024 09:28 PM |
| 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 Ultra |
| Model ID | samsung SM-S928U |
| 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% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
18390
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
40704
7.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
10768
174.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31279
508.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
100373
117.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
398419
466.3 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
86% |
20275
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
761
9.04 IPS |
|
|
Face Detection (HP)
|
100% |
35341
419.9 IPS |
|
|
Face Detection (Q)
|
97% |
128070
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
63525
489.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
114564
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
1066
1.37 IPS |
|
|
Style Transfer (HP)
|
98% |
85557
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
421984
544.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
363
13.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45615
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104144
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
453
604.8 IPS |
|
|
Text Classification (HP)
|
100% |
3090
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6883
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3666
63.2 IPS |
|
|
Machine Translation (Q)
|
55% |
2597
68.0 IPS |
