Samsung Galaxy S24 Ultra
Geekbench AI Score
465
Single Precision Score
22502
Half Precision Score
51511
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 08:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
18004
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
41848
7.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
11025
178.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31283
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
481
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
97778
114.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
398665
466.6 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
86% |
20368
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
35446
421.2 IPS |
|
|
Face Detection (Q)
|
97% |
126413
1.51 KIPS |
|
|
Depth Estimation (SP)
|
100% |
602
4.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
64362
495.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
118049
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (HP)
|
98% |
85497
110.2 IPS |
|
|
Style Transfer (Q)
|
98% |
422781
545.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45194
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
110165
4.08 KIPS |
|
|
Text Classification (SP)
|
100% |
421
561.7 IPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6853
9.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (Q)
|
55% |
2598
68.1 IPS |
